---
_id: '55516'
author:
- first_name: Ashwin Prasad
full_name: Shivarpatna Venkatesh, Ashwin Prasad
id: '66637'
last_name: Shivarpatna Venkatesh
- first_name: Samkutty
full_name: Sabu, Samkutty
last_name: Sabu
- first_name: Amir M.
full_name: Mir, Amir M.
last_name: Mir
- first_name: Sofia
full_name: Reis, Sofia
last_name: Reis
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Shivarpatna Venkatesh AP, Sabu S, Mir AM, Reis S, Bodden E. The Emergence
of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks.
In: Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation
Models and Software Engineering. ACM; 2024. doi:10.1145/3650105.3652288'
apa: 'Shivarpatna Venkatesh, A. P., Sabu, S., Mir, A. M., Reis, S., & Bodden,
E. (2024). The Emergence of Large Language Models in Static Analysis: A First
Look through Micro-Benchmarks. Proceedings of the 2024 IEEE/ACM First International
Conference on AI Foundation Models and Software Engineering. https://doi.org/10.1145/3650105.3652288'
bibtex: '@inproceedings{Shivarpatna Venkatesh_Sabu_Mir_Reis_Bodden_2024, title={The
Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks},
DOI={10.1145/3650105.3652288},
booktitle={Proceedings of the 2024 IEEE/ACM First International Conference on
AI Foundation Models and Software Engineering}, publisher={ACM}, author={Shivarpatna
Venkatesh, Ashwin Prasad and Sabu, Samkutty and Mir, Amir M. and Reis, Sofia and
Bodden, Eric}, year={2024} }'
chicago: 'Shivarpatna Venkatesh, Ashwin Prasad, Samkutty Sabu, Amir M. Mir, Sofia
Reis, and Eric Bodden. “The Emergence of Large Language Models in Static Analysis:
A First Look through Micro-Benchmarks.” In Proceedings of the 2024 IEEE/ACM
First International Conference on AI Foundation Models and Software Engineering.
ACM, 2024. https://doi.org/10.1145/3650105.3652288.'
ieee: 'A. P. Shivarpatna Venkatesh, S. Sabu, A. M. Mir, S. Reis, and E. Bodden,
“The Emergence of Large Language Models in Static Analysis: A First Look through
Micro-Benchmarks,” 2024, doi: 10.1145/3650105.3652288.'
mla: 'Shivarpatna Venkatesh, Ashwin Prasad, et al. “The Emergence of Large Language
Models in Static Analysis: A First Look through Micro-Benchmarks.” Proceedings
of the 2024 IEEE/ACM First International Conference on AI Foundation Models and
Software Engineering, ACM, 2024, doi:10.1145/3650105.3652288.'
short: 'A.P. Shivarpatna Venkatesh, S. Sabu, A.M. Mir, S. Reis, E. Bodden, in: Proceedings
of the 2024 IEEE/ACM First International Conference on AI Foundation Models and
Software Engineering, ACM, 2024.'
date_created: 2024-08-05T09:12:59Z
date_updated: 2024-08-05T09:14:11Z
department:
- _id: '76'
doi: 10.1145/3650105.3652288
language:
- iso: eng
publication: Proceedings of the 2024 IEEE/ACM First International Conference on AI
Foundation Models and Software Engineering
publication_status: published
publisher: ACM
status: public
title: 'The Emergence of Large Language Models in Static Analysis: A First Look through
Micro-Benchmarks'
type: conference
user_id: '15249'
year: '2024'
...
---
_id: '55561'
author:
- first_name: Gabriela
full_name: Jonas-Ahrend, Gabriela
id: '77633'
last_name: Jonas-Ahrend
orcid: 0000-0003-3898-954X
- first_name: Marika
full_name: Kapanadze, Marika
last_name: Kapanadze
- first_name: Alexander
full_name: Mazzolini, Alexander
last_name: Mazzolini
- first_name: Fadeel
full_name: Joubran, Fadeel
last_name: Joubran
citation:
ama: 'Jonas-Ahrend G, Kapanadze M, Mazzolini A, Joubran F. Ergebnisse einer Reviewstudie
zur Evaluation von Physiklehrbüchern. In: van Vorst (Hrsg.) H, ed. GDCP Jahrestagung
Hamburg 2023. ; 2024:570-572.'
apa: Jonas-Ahrend, G., Kapanadze, M., Mazzolini, A., & Joubran, F. (2024). Ergebnisse
einer Reviewstudie zur Evaluation von Physiklehrbüchern. In H. van Vorst (Hrsg.)
(Ed.), GDCP Jahrestagung Hamburg 2023 (pp. 570–572).
bibtex: '@inproceedings{Jonas-Ahrend_Kapanadze_Mazzolini_Joubran_2024, title={Ergebnisse
einer Reviewstudie zur Evaluation von Physiklehrbüchern}, booktitle={GDCP Jahrestagung
Hamburg 2023}, author={Jonas-Ahrend, Gabriela and Kapanadze, Marika and Mazzolini,
Alexander and Joubran, Fadeel}, editor={van Vorst (Hrsg.), Helena}, year={2024},
pages={570–572} }'
chicago: Jonas-Ahrend, Gabriela, Marika Kapanadze, Alexander Mazzolini, and Fadeel
Joubran. “Ergebnisse Einer Reviewstudie Zur Evaluation von Physiklehrbüchern.”
In GDCP Jahrestagung Hamburg 2023, edited by Helena van Vorst (Hrsg.),
570–72, 2024.
ieee: G. Jonas-Ahrend, M. Kapanadze, A. Mazzolini, and F. Joubran, “Ergebnisse einer
Reviewstudie zur Evaluation von Physiklehrbüchern,” in GDCP Jahrestagung Hamburg
2023, Hamburg, 2024, pp. 570–572.
mla: Jonas-Ahrend, Gabriela, et al. “Ergebnisse Einer Reviewstudie Zur Evaluation
von Physiklehrbüchern.” GDCP Jahrestagung Hamburg 2023, edited by Helena
van Vorst (Hrsg.), 2024, pp. 570–72.
short: 'G. Jonas-Ahrend, M. Kapanadze, A. Mazzolini, F. Joubran, in: H. van Vorst
(Hrsg.) (Ed.), GDCP Jahrestagung Hamburg 2023, 2024, pp. 570–572.'
conference:
end_date: 2023-09-14
location: Hamburg
name: GDCP Jahrestagung
start_date: 2023-09-11
date_created: 2024-08-07T13:43:55Z
date_updated: 2024-08-07T13:44:53Z
department:
- _id: '300'
editor:
- first_name: Helena
full_name: van Vorst (Hrsg.), Helena
last_name: van Vorst (Hrsg.)
has_accepted_license: '1'
language:
- iso: eng
page: 570-572
publication: GDCP Jahrestagung Hamburg 2023
status: public
title: Ergebnisse einer Reviewstudie zur Evaluation von Physiklehrbüchern
type: conference
user_id: '77633'
year: '2024'
...
---
_id: '55562'
author:
- first_name: Gabriela
full_name: Jonas-Ahrend, Gabriela
id: '77633'
last_name: Jonas-Ahrend
orcid: 0000-0003-3898-954X
citation:
ama: 'Jonas-Ahrend G. Teacher shortage - characteristics, constraints, and challenges:
The case of Germany. In: ; 2024.'
apa: 'Jonas-Ahrend, G. (2024). Teacher shortage - characteristics, constraints,
and challenges: The case of Germany. 65th World Assembly - International Council
on Education for Teaching, Braga/Portugal.'
bibtex: '@inproceedings{Jonas-Ahrend_2024, title={Teacher shortage - characteristics,
constraints, and challenges: The case of Germany}, author={Jonas-Ahrend, Gabriela},
year={2024} }'
chicago: 'Jonas-Ahrend, Gabriela. “Teacher Shortage - Characteristics, Constraints,
and Challenges: The Case of Germany,” 2024.'
ieee: 'G. Jonas-Ahrend, “Teacher shortage - characteristics, constraints, and challenges:
The case of Germany,” presented at the 65th World Assembly - International Council
on Education for Teaching, Braga/Portugal, 2024.'
mla: 'Jonas-Ahrend, Gabriela. Teacher Shortage - Characteristics, Constraints,
and Challenges: The Case of Germany. 2024.'
short: 'G. Jonas-Ahrend, in: 2024.'
conference:
end_date: 2024-06-15
location: Braga/Portugal
name: 65th World Assembly - International Council on Education for Teaching
start_date: 2024-06-13
date_created: 2024-08-07T13:50:23Z
date_updated: 2024-08-07T13:50:29Z
department:
- _id: '300'
language:
- iso: eng
status: public
title: 'Teacher shortage - characteristics, constraints, and challenges: The case
of Germany'
type: conference_abstract
user_id: '77633'
year: '2024'
...
---
_id: '55193'
author:
- first_name: Max
full_name: Hoffmann, Max
id: '32202'
last_name: Hoffmann
orcid: 0000-0002-6964-7123
- first_name: Joachim
full_name: Hilgert, Joachim
id: '220'
last_name: Hilgert
- first_name: Tobias
full_name: Weich, Tobias
id: '49178'
last_name: Weich
orcid: 0000-0002-9648-6919
citation:
ama: Hoffmann M, Hilgert J, Weich T. Ebene euklidische Geometrie. Algebraisierung,
Axiomatisierung und Schnittstellen zur Schulmathematik. Springer Berlin Heidelberg;
2024. doi:10.1007/978-3-662-67357-7
apa: Hoffmann, M., Hilgert, J., & Weich, T. (2024). Ebene euklidische Geometrie.
Algebraisierung, Axiomatisierung und Schnittstellen zur Schulmathematik. Springer
Berlin Heidelberg. https://doi.org/10.1007/978-3-662-67357-7
bibtex: '@book{Hoffmann_Hilgert_Weich_2024, place={Berlin, Heidelberg}, title={Ebene
euklidische Geometrie. Algebraisierung, Axiomatisierung und Schnittstellen zur
Schulmathematik}, DOI={10.1007/978-3-662-67357-7},
publisher={Springer Berlin Heidelberg}, author={Hoffmann, Max and Hilgert, Joachim
and Weich, Tobias}, year={2024} }'
chicago: 'Hoffmann, Max, Joachim Hilgert, and Tobias Weich. Ebene euklidische
Geometrie. Algebraisierung, Axiomatisierung und Schnittstellen zur Schulmathematik.
Berlin, Heidelberg: Springer Berlin Heidelberg, 2024. https://doi.org/10.1007/978-3-662-67357-7.'
ieee: 'M. Hoffmann, J. Hilgert, and T. Weich, Ebene euklidische Geometrie. Algebraisierung,
Axiomatisierung und Schnittstellen zur Schulmathematik. Berlin, Heidelberg:
Springer Berlin Heidelberg, 2024.'
mla: Hoffmann, Max, et al. Ebene euklidische Geometrie. Algebraisierung, Axiomatisierung
und Schnittstellen zur Schulmathematik. Springer Berlin Heidelberg, 2024,
doi:10.1007/978-3-662-67357-7.
short: M. Hoffmann, J. Hilgert, T. Weich, Ebene euklidische Geometrie. Algebraisierung,
Axiomatisierung und Schnittstellen zur Schulmathematik, Springer Berlin Heidelberg,
Berlin, Heidelberg, 2024.
date_created: 2024-07-12T08:36:42Z
date_updated: 2024-08-08T08:05:30Z
department:
- _id: '97'
- _id: '643'
- _id: '548'
doi: 10.1007/978-3-662-67357-7
language:
- iso: ger
place: Berlin, Heidelberg
publication_identifier:
isbn:
- '9783662673560'
- '9783662673577'
publication_status: published
publisher: Springer Berlin Heidelberg
status: public
title: Ebene euklidische Geometrie. Algebraisierung, Axiomatisierung und Schnittstellen
zur Schulmathematik
type: book
user_id: '220'
year: '2024'
...
---
_id: '46469'
abstract:
- lang: eng
text: 'We show how to learn discrete field theories from observational data of fields
on a space-time lattice. For this, we train a neural network model of a discrete
Lagrangian density such that the discrete Euler--Lagrange equations are consistent
with the given training data. We, thus, obtain a structure-preserving machine
learning architecture. Lagrangian densities are not uniquely defined by the solutions
of a field theory. We introduce a technique to derive regularisers for the training
process which optimise numerical regularity of the discrete field theory. Minimisation
of the regularisers guarantees that close to the training data the discrete field
theory behaves robust and efficient when used in numerical simulations. Further,
we show how to identify structurally simple solutions of the underlying continuous
field theory such as travelling waves. This is possible even when travelling waves
are not present in the training data. This is compared to data-driven model order
reduction based approaches, which struggle to identify suitable latent spaces
containing structurally simple solutions when these are not present in the training
data. Ideas are demonstrated on examples based on the wave equation and the Schrödinger
equation. '
article_number: '013104'
article_type: original
author:
- first_name: Christian
full_name: Offen, Christian
id: '85279'
last_name: Offen
orcid: 0000-0002-5940-8057
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
citation:
ama: Offen C, Ober-Blöbaum S. Learning of discrete models of variational PDEs from
data. Chaos. 2024;34(1). doi:10.1063/5.0172287
apa: Offen, C., & Ober-Blöbaum, S. (2024). Learning of discrete models of variational
PDEs from data. Chaos, 34(1), Article 013104. https://doi.org/10.1063/5.0172287
bibtex: '@article{Offen_Ober-Blöbaum_2024, title={Learning of discrete models of
variational PDEs from data}, volume={34}, DOI={10.1063/5.0172287},
number={1013104}, journal={Chaos}, publisher={AIP Publishing}, author={Offen,
Christian and Ober-Blöbaum, Sina}, year={2024} }'
chicago: Offen, Christian, and Sina Ober-Blöbaum. “Learning of Discrete Models of
Variational PDEs from Data.” Chaos 34, no. 1 (2024). https://doi.org/10.1063/5.0172287.
ieee: 'C. Offen and S. Ober-Blöbaum, “Learning of discrete models of variational
PDEs from data,” Chaos, vol. 34, no. 1, Art. no. 013104, 2024, doi: 10.1063/5.0172287.'
mla: Offen, Christian, and Sina Ober-Blöbaum. “Learning of Discrete Models of Variational
PDEs from Data.” Chaos, vol. 34, no. 1, 013104, AIP Publishing, 2024, doi:10.1063/5.0172287.
short: C. Offen, S. Ober-Blöbaum, Chaos 34 (2024).
date_created: 2023-08-10T08:24:48Z
date_updated: 2024-08-12T13:45:43Z
ddc:
- '510'
department:
- _id: '636'
doi: 10.1063/5.0172287
external_id:
arxiv:
- '2308.05082 '
file:
- access_level: open_access
content_type: application/pdf
creator: coffen
date_created: 2024-01-09T10:48:38Z
date_updated: 2024-01-09T10:48:38Z
file_id: '50376'
file_name: Accepted manuscript with AIP banner CHA23-AR-01370.pdf
file_size: 13222105
relation: main_file
title: Accepted Manuscript Chaos
- access_level: open_access
content_type: application/pdf
creator: coffen
date_created: 2024-01-09T11:19:49Z
date_updated: 2024-01-09T11:19:49Z
description: |-
We show how to learn discrete field theories from observational data of fields on a space-time lattice. For this, we train
a neural network model of a discrete Lagrangian density such that the discrete Euler–Lagrange equations are consistent
with the given training data. We, thus, obtain a structure-preserving machine learning architecture. Lagrangian
densities are not uniquely defined by the solutions of a field theory. We introduce a technique to derive regularisers for
the training process which optimise numerical regularity of the discrete field theory. Minimisation of the regularisers
guarantees that close to the training data the discrete field theory behaves robust and efficient when used in numerical
simulations. Further, we show how to identify structurally simple solutions of the underlying continuous field theory
such as travelling waves. This is possible even when travelling waves are not present in the training data. This is
compared to data-driven model order reduction based approaches, which struggle to identify suitable latent spaces
containing structurally simple solutions when these are not present in the training data. Ideas are demonstrated on
examples based on the wave equation and the Schrödinger equation.
file_id: '50390'
file_name: LDensityPDE_AIP.pdf
file_size: 12960884
relation: main_file
title: Learning of discrete models of variational PDEs from data
file_date_updated: 2024-01-09T11:19:49Z
has_accepted_license: '1'
intvolume: ' 34'
issue: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Chaos
publication_identifier:
issn:
- 1054-1500
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
related_material:
link:
- description: GitHub
relation: software
url: https://github.com/Christian-Offen/DLNN_pde
status: public
title: Learning of discrete models of variational PDEs from data
type: journal_article
user_id: '85279'
volume: 34
year: '2024'
...
---
_id: '55159'
abstract:
- lang: eng
text: "We introduce a method based on Gaussian process regression to identify discrete
variational principles from observed solutions of a field theory. The method is
based on the data-based identification of a discrete Lagrangian density. It is
a geometric machine learning technique in the sense that the variational structure
of the true field theory is reflected in the data-driven model by design. We provide
a rigorous convergence statement of the method. The proof circumvents challenges
posed by the ambiguity of discrete Lagrangian densities in the inverse problem
of variational calculus.\r\nMoreover, our method can be used to quantify model
uncertainty in the equations of motions and any linear observable of the discrete
field theory. This is illustrated on the example of the discrete wave equation
and Schrödinger equation.\r\nThe article constitutes an extension of our previous
article arXiv:2404.19626 for the data-driven identification of (discrete) Lagrangians
for variational dynamics from an ode setting to the setting of discrete pdes."
author:
- first_name: Christian
full_name: Offen, Christian
id: '85279'
last_name: Offen
orcid: 0000-0002-5940-8057
citation:
ama: Offen C. Machine learning of discrete field theories with guaranteed convergence
and uncertainty quantification.
apa: Offen, C. (n.d.). Machine learning of discrete field theories with guaranteed
convergence and uncertainty quantification.
bibtex: '@article{Offen, title={Machine learning of discrete field theories with
guaranteed convergence and uncertainty quantification}, author={Offen, Christian}
}'
chicago: Offen, Christian. “Machine Learning of Discrete Field Theories with Guaranteed
Convergence and Uncertainty Quantification,” n.d.
ieee: C. Offen, “Machine learning of discrete field theories with guaranteed convergence
and uncertainty quantification.” .
mla: Offen, Christian. Machine Learning of Discrete Field Theories with Guaranteed
Convergence and Uncertainty Quantification.
short: C. Offen, (n.d.).
date_created: 2024-07-10T13:43:50Z
date_updated: 2024-08-12T13:43:32Z
ddc:
- '510'
department:
- _id: '636'
external_id:
arxiv:
- '2407.07642'
file:
- access_level: open_access
content_type: application/pdf
creator: coffen
date_created: 2024-07-10T13:39:32Z
date_updated: 2024-07-10T13:39:32Z
description: |-
We introduce a method based on Gaussian process regression to identify discrete
variational principles from observed solutions of a field theory. The method is based on the data-based identification of a discrete Lagrangian density. It is a geometric machine learning technique in the sense that the variational structure of the true field theory is reflected in the data-driven model by design.
We provide a rigorous convergence statement of the method.
The proof circumvents challenges posed by the ambiguity of discrete Lagrangian densities in the inverse problem of variational calculus.
Moreover, our method can be used to quantify model uncertainty in the equations of motions and any linear observable of the discrete field theory.
This is illustrated on the example of the discrete wave equation and Schrödinger equation.
The article constitutes an extension of our previous article for the data-driven identification of (discrete) Lagrangians for variational dynamics from an ode setting to the setting of discrete pdes.
file_id: '55160'
file_name: L_Collocation.pdf
file_size: 4569314
relation: main_file
title: Machine learning of discrete field theories with guaranteed convergence and
uncertainty quantification
file_date_updated: 2024-07-10T13:39:32Z
has_accepted_license: '1'
keyword:
- System identification
- inverse problem of variational calculus
- Gaussian process
- Lagrangian learning
- physics informed machine learning
- geometry aware learning
language:
- iso: eng
oa: '1'
page: '28'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication_status: submitted
related_material:
link:
- description: GitHub
relation: software
url: https://github.com/Christian-Offen/Lagrangian_GP_PDE
status: public
title: Machine learning of discrete field theories with guaranteed convergence and
uncertainty quantification
type: preprint
user_id: '85279'
year: '2024'
...
---
_id: '55302'
author:
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Mareen
full_name: Wippermann, Mareen
id: '74624'
last_name: Wippermann
citation:
ama: Claes L, Wippermann M. Analysis of Guided Acoustic Waves in Periodically
Structured Plates.; 2024.
apa: Claes, L., & Wippermann, M. (2024). Analysis of guided acoustic waves
in periodically structured plates.
bibtex: '@book{Claes_Wippermann_2024, place={Guided Ultrasonic Waves: Emerging Methods
(GUWEM) Workshop, Überherrn}, title={Analysis of guided acoustic waves in periodically
structured plates}, author={Claes, Leander and Wippermann, Mareen}, year={2024}
}'
chicago: 'Claes, Leander, and Mareen Wippermann. Analysis of Guided Acoustic
Waves in Periodically Structured Plates. Guided Ultrasonic Waves: Emerging
Methods (GUWEM) Workshop, Überherrn, 2024.'
ieee: 'L. Claes and M. Wippermann, Analysis of guided acoustic waves in periodically
structured plates. Guided Ultrasonic Waves: Emerging Methods (GUWEM) Workshop,
Überherrn, 2024.'
mla: Claes, Leander, and Mareen Wippermann. Analysis of Guided Acoustic Waves
in Periodically Structured Plates. 2024.
short: 'L. Claes, M. Wippermann, Analysis of Guided Acoustic Waves in Periodically
Structured Plates, Guided Ultrasonic Waves: Emerging Methods (GUWEM) Workshop,
Überherrn, 2024.'
date_created: 2024-07-17T07:05:23Z
date_updated: 2024-08-15T07:33:13Z
department:
- _id: '49'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.5281/zenodo.12517188
oa: '1'
place: 'Guided Ultrasonic Waves: Emerging Methods (GUWEM) Workshop, Überherrn'
project:
- _id: '157'
grant_number: '495847374'
name: 'FaMOUS: Ein ultraschallbasiertes Messverfahren unter Berücksichtigung viskoelastischer
Eigenschaften zur Charakterisierung der Faser-Matrix-Haftung bei Organoblechen
sowie deren realitätsnahe Modellierung'
status: public
title: Analysis of guided acoustic waves in periodically structured plates
type: misc
user_id: '11829'
year: '2024'
...
---
_id: '55633'
author:
- first_name: Sandra
full_name: Höltervennhoff, Sandra
last_name: Höltervennhoff
- first_name: Noah
full_name: Wöhler, Noah
last_name: Wöhler
- first_name: Arne
full_name: Möhle, Arne
last_name: Möhle
- first_name: Marten
full_name: Oltrogge, Marten
last_name: Oltrogge
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Oliver
full_name: Wiese, Oliver
last_name: Wiese
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Höltervennhoff S, Wöhler N, Möhle A, et al. A Mixed-Methods Study on User
Experiences and Challenges of Recovery Codes for an End-to-End Encrypted Service.
In: Balzarotti D, Xu W, eds. 33rd USENIX Security Symposium, USENIX Security
2024, Philadelphia, PA, USA, August 14-16, 2024. USENIX Association; 2024.'
apa: Höltervennhoff, S., Wöhler, N., Möhle, A., Oltrogge, M., Acar, Y., Wiese, O.,
& Fahl, S. (2024). A Mixed-Methods Study on User Experiences and Challenges
of Recovery Codes for an End-to-End Encrypted Service. In D. Balzarotti &
W. Xu (Eds.), 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia,
PA, USA, August 14-16, 2024. USENIX Association.
bibtex: '@inproceedings{Höltervennhoff_Wöhler_Möhle_Oltrogge_Acar_Wiese_Fahl_2024,
title={A Mixed-Methods Study on User Experiences and Challenges of Recovery Codes
for an End-to-End Encrypted Service}, booktitle={33rd USENIX Security Symposium,
USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024}, publisher={USENIX
Association}, author={Höltervennhoff, Sandra and Wöhler, Noah and Möhle, Arne
and Oltrogge, Marten and Acar, Yasemin and Wiese, Oliver and Fahl, Sascha}, editor={Balzarotti,
Davide and Xu, Wenyuan}, year={2024} }'
chicago: Höltervennhoff, Sandra, Noah Wöhler, Arne Möhle, Marten Oltrogge, Yasemin
Acar, Oliver Wiese, and Sascha Fahl. “A Mixed-Methods Study on User Experiences
and Challenges of Recovery Codes for an End-to-End Encrypted Service.” In 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024, edited by Davide Balzarotti and Wenyuan Xu. USENIX Association,
2024.
ieee: S. Höltervennhoff et al., “A Mixed-Methods Study on User Experiences
and Challenges of Recovery Codes for an End-to-End Encrypted Service,” in 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024, 2024.
mla: Höltervennhoff, Sandra, et al. “A Mixed-Methods Study on User Experiences and
Challenges of Recovery Codes for an End-to-End Encrypted Service.” 33rd USENIX
Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August 14-16,
2024, edited by Davide Balzarotti and Wenyuan Xu, USENIX Association, 2024.
short: 'S. Höltervennhoff, N. Wöhler, A. Möhle, M. Oltrogge, Y. Acar, O. Wiese,
S. Fahl, in: D. Balzarotti, W. Xu (Eds.), 33rd USENIX Security Symposium, USENIX
Security 2024, Philadelphia, PA, USA, August 14-16, 2024, USENIX Association,
2024.'
date_created: 2024-08-19T08:02:52Z
date_updated: 2024-08-19T08:04:17Z
department:
- _id: '740'
editor:
- first_name: Davide
full_name: Balzarotti, Davide
last_name: Balzarotti
- first_name: Wenyuan
full_name: Xu, Wenyuan
last_name: Xu
language:
- iso: eng
publication: 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA,
USA, August 14-16, 2024
publisher: USENIX Association
status: public
title: A Mixed-Methods Study on User Experiences and Challenges of Recovery Codes
for an End-to-End Encrypted Service
type: conference
user_id: '15458'
year: '2024'
...
---
_id: '55632'
author:
- first_name: Konstantin
full_name: Fischer, Konstantin
last_name: Fischer
- first_name: Ivana
full_name: Trummová, Ivana
last_name: Trummová
- first_name: Phillip
full_name: Gajland, Phillip
last_name: Gajland
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
- first_name: M. Angela
full_name: Sasse, M. Angela
last_name: Sasse
citation:
ama: 'Fischer K, Trummová I, Gajland P, Acar Y, Fahl S, Sasse MA. The Challenges
of Bringing Cryptography from Research Papers to Products: Results from an Interview
Study with Experts. In: Balzarotti D, Xu W, eds. 33rd USENIX Security Symposium,
USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024. USENIX Association;
2024.'
apa: 'Fischer, K., Trummová, I., Gajland, P., Acar, Y., Fahl, S., & Sasse, M.
A. (2024). The Challenges of Bringing Cryptography from Research Papers to Products:
Results from an Interview Study with Experts. In D. Balzarotti & W. Xu (Eds.),
33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA,
August 14-16, 2024. USENIX Association.'
bibtex: '@inproceedings{Fischer_Trummová_Gajland_Acar_Fahl_Sasse_2024, title={The
Challenges of Bringing Cryptography from Research Papers to Products: Results
from an Interview Study with Experts}, booktitle={33rd USENIX Security Symposium,
USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024}, publisher={USENIX
Association}, author={Fischer, Konstantin and Trummová, Ivana and Gajland, Phillip
and Acar, Yasemin and Fahl, Sascha and Sasse, M. Angela}, editor={Balzarotti,
Davide and Xu, Wenyuan}, year={2024} }'
chicago: 'Fischer, Konstantin, Ivana Trummová, Phillip Gajland, Yasemin Acar, Sascha
Fahl, and M. Angela Sasse. “The Challenges of Bringing Cryptography from Research
Papers to Products: Results from an Interview Study with Experts.” In 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024, edited by Davide Balzarotti and Wenyuan Xu. USENIX Association,
2024.'
ieee: 'K. Fischer, I. Trummová, P. Gajland, Y. Acar, S. Fahl, and M. A. Sasse, “The
Challenges of Bringing Cryptography from Research Papers to Products: Results
from an Interview Study with Experts,” in 33rd USENIX Security Symposium, USENIX
Security 2024, Philadelphia, PA, USA, August 14-16, 2024, 2024.'
mla: 'Fischer, Konstantin, et al. “The Challenges of Bringing Cryptography from
Research Papers to Products: Results from an Interview Study with Experts.” 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024, edited by Davide Balzarotti and Wenyuan Xu, USENIX Association,
2024.'
short: 'K. Fischer, I. Trummová, P. Gajland, Y. Acar, S. Fahl, M.A. Sasse, in: D.
Balzarotti, W. Xu (Eds.), 33rd USENIX Security Symposium, USENIX Security 2024,
Philadelphia, PA, USA, August 14-16, 2024, USENIX Association, 2024.'
date_created: 2024-08-19T07:56:08Z
date_updated: 2024-08-19T08:04:21Z
department:
- _id: '740'
editor:
- first_name: Davide
full_name: Balzarotti, Davide
last_name: Balzarotti
- first_name: Wenyuan
full_name: Xu, Wenyuan
last_name: Xu
language:
- iso: eng
publication: 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA,
USA, August 14-16, 2024
publisher: USENIX Association
status: public
title: 'The Challenges of Bringing Cryptography from Research Papers to Products:
Results from an Interview Study with Experts'
type: conference
user_id: '15458'
year: '2024'
...
---
_id: '55634'
author:
- first_name: Marcel
full_name: Fourné, Marcel
last_name: Fourné
- first_name: Daniel De Almeida
full_name: Braga, Daniel De Almeida
last_name: Braga
- first_name: Jan
full_name: Jancar, Jan
last_name: Jancar
- first_name: Mohamed
full_name: Sabt, Mohamed
last_name: Sabt
- first_name: Peter
full_name: Schwabe, Peter
last_name: Schwabe
- first_name: Gilles
full_name: Barthe, Gilles
last_name: Barthe
- first_name: Pierre-Alain
full_name: Fouque, Pierre-Alain
last_name: Fouque
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
citation:
ama: 'Fourné M, Braga DDA, Jancar J, et al. “These results must be false”: A usability
evaluation of constant-time analysis tools. In: Balzarotti D, Xu W, eds. 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024. USENIX Association; 2024.'
apa: 'Fourné, M., Braga, D. D. A., Jancar, J., Sabt, M., Schwabe, P., Barthe, G.,
Fouque, P.-A., & Acar, Y. (2024). “These results must be false”: A usability
evaluation of constant-time analysis tools. In D. Balzarotti & W. Xu (Eds.),
33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA,
August 14-16, 2024. USENIX Association.'
bibtex: '@inproceedings{Fourné_Braga_Jancar_Sabt_Schwabe_Barthe_Fouque_Acar_2024,
title={“These results must be false”: A usability evaluation of constant-time
analysis tools}, booktitle={33rd USENIX Security Symposium, USENIX Security 2024,
Philadelphia, PA, USA, August 14-16, 2024}, publisher={USENIX Association}, author={Fourné,
Marcel and Braga, Daniel De Almeida and Jancar, Jan and Sabt, Mohamed and Schwabe,
Peter and Barthe, Gilles and Fouque, Pierre-Alain and Acar, Yasemin}, editor={Balzarotti,
Davide and Xu, Wenyuan}, year={2024} }'
chicago: 'Fourné, Marcel, Daniel De Almeida Braga, Jan Jancar, Mohamed Sabt, Peter
Schwabe, Gilles Barthe, Pierre-Alain Fouque, and Yasemin Acar. “‘These Results
Must Be False’: A Usability Evaluation of Constant-Time Analysis Tools.” In 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024, edited by Davide Balzarotti and Wenyuan Xu. USENIX Association,
2024.'
ieee: 'M. Fourné et al., “‘These results must be false’: A usability evaluation
of constant-time analysis tools,” in 33rd USENIX Security Symposium, USENIX
Security 2024, Philadelphia, PA, USA, August 14-16, 2024, 2024.'
mla: 'Fourné, Marcel, et al. “‘These Results Must Be False’: A Usability Evaluation
of Constant-Time Analysis Tools.” 33rd USENIX Security Symposium, USENIX Security
2024, Philadelphia, PA, USA, August 14-16, 2024, edited by Davide Balzarotti
and Wenyuan Xu, USENIX Association, 2024.'
short: 'M. Fourné, D.D.A. Braga, J. Jancar, M. Sabt, P. Schwabe, G. Barthe, P.-A.
Fouque, Y. Acar, in: D. Balzarotti, W. Xu (Eds.), 33rd USENIX Security Symposium,
USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024, USENIX Association,
2024.'
date_created: 2024-08-19T08:14:13Z
date_updated: 2024-08-19T08:25:10Z
department:
- _id: '740'
editor:
- first_name: Davide
full_name: Balzarotti, Davide
last_name: Balzarotti
- first_name: Wenyuan
full_name: Xu, Wenyuan
last_name: Xu
language:
- iso: eng
publication: 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA,
USA, August 14-16, 2024
publisher: USENIX Association
status: public
title: '"These results must be false": A usability evaluation of constant-time analysis
tools'
type: conference
user_id: '15458'
year: '2024'
...
---
_id: '55636'
author:
- first_name: Nicolas
full_name: Huaman, Nicolas
last_name: Huaman
- first_name: Jacques
full_name: Suray, Jacques
last_name: Suray
- first_name: Jan H.
full_name: Klemmer, Jan H.
last_name: Klemmer
- first_name: Marcel
full_name: Fourné, Marcel
last_name: Fourné
- first_name: Sabrina
full_name: Amft, Sabrina
last_name: Amft
- first_name: Ivana
full_name: Trummová, Ivana
last_name: Trummová
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Huaman N, Suray J, Klemmer JH, et al. “You have to read 50 different RFCs
that contradict each other”: An Interview Study on the Experiences of Implementing
Cryptographic Standards. In: Balzarotti D, Xu W, eds. 33rd USENIX Security
Symposium, USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024.
USENIX Association; 2024.'
apa: 'Huaman, N., Suray, J., Klemmer, J. H., Fourné, M., Amft, S., Trummová, I.,
Acar, Y., & Fahl, S. (2024). “You have to read 50 different RFCs that contradict
each other”: An Interview Study on the Experiences of Implementing Cryptographic
Standards. In D. Balzarotti & W. Xu (Eds.), 33rd USENIX Security Symposium,
USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024. USENIX Association.'
bibtex: '@inproceedings{Huaman_Suray_Klemmer_Fourné_Amft_Trummová_Acar_Fahl_2024,
title={“You have to read 50 different RFCs that contradict each other”: An Interview
Study on the Experiences of Implementing Cryptographic Standards}, booktitle={33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024}, publisher={USENIX Association}, author={Huaman, Nicolas and Suray,
Jacques and Klemmer, Jan H. and Fourné, Marcel and Amft, Sabrina and Trummová,
Ivana and Acar, Yasemin and Fahl, Sascha}, editor={Balzarotti, Davide and Xu,
Wenyuan}, year={2024} }'
chicago: 'Huaman, Nicolas, Jacques Suray, Jan H. Klemmer, Marcel Fourné, Sabrina
Amft, Ivana Trummová, Yasemin Acar, and Sascha Fahl. “‘You Have to Read 50 Different
RFCs That Contradict Each Other’: An Interview Study on the Experiences of Implementing
Cryptographic Standards.” In 33rd USENIX Security Symposium, USENIX Security
2024, Philadelphia, PA, USA, August 14-16, 2024, edited by Davide Balzarotti
and Wenyuan Xu. USENIX Association, 2024.'
ieee: 'N. Huaman et al., “‘You have to read 50 different RFCs that contradict
each other’: An Interview Study on the Experiences of Implementing Cryptographic
Standards,” in 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia,
PA, USA, August 14-16, 2024, 2024.'
mla: 'Huaman, Nicolas, et al. “‘You Have to Read 50 Different RFCs That Contradict
Each Other’: An Interview Study on the Experiences of Implementing Cryptographic
Standards.” 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia,
PA, USA, August 14-16, 2024, edited by Davide Balzarotti and Wenyuan Xu, USENIX
Association, 2024.'
short: 'N. Huaman, J. Suray, J.H. Klemmer, M. Fourné, S. Amft, I. Trummová, Y. Acar,
S. Fahl, in: D. Balzarotti, W. Xu (Eds.), 33rd USENIX Security Symposium, USENIX
Security 2024, Philadelphia, PA, USA, August 14-16, 2024, USENIX Association,
2024.'
date_created: 2024-08-19T08:26:29Z
date_updated: 2024-08-19T08:54:05Z
department:
- _id: '740'
editor:
- first_name: Davide
full_name: Balzarotti, Davide
last_name: Balzarotti
- first_name: Wenyuan
full_name: Xu, Wenyuan
last_name: Xu
language:
- iso: eng
publication: 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA,
USA, August 14-16, 2024
publisher: USENIX Association
status: public
title: '"You have to read 50 different RFCs that contradict each other": An Interview
Study on the Experiences of Implementing Cryptographic Standards'
type: conference
user_id: '15458'
year: '2024'
...
---
_id: '55641'
author:
- first_name: Kabir
full_name: Panahi, Kabir
last_name: Panahi
- first_name: Shawn
full_name: Robertson, Shawn
last_name: Robertson
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Alexandru G.
full_name: Bardas, Alexandru G.
last_name: Bardas
- first_name: Tadayoshi
full_name: Kohno, Tadayoshi
last_name: Kohno
- first_name: Lucy
full_name: Simko, Lucy
last_name: Simko
citation:
ama: 'Panahi K, Robertson S, Acar Y, Bardas AG, Kohno T, Simko L. "But they have
overlooked a few things in Afghanistan: " An Analysis of the Integration of Biometric
Voter Verification in the 2019 Afghan Presidential Elections. In: Balzarotti D,
Xu W, eds. 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia,
PA, USA, August 14-16, 2024. USENIX Association; 2024.'
apa: 'Panahi, K., Robertson, S., Acar, Y., Bardas, A. G., Kohno, T., & Simko,
L. (2024). "But they have overlooked a few things in Afghanistan: " An Analysis
of the Integration of Biometric Voter Verification in the 2019 Afghan Presidential
Elections. In D. Balzarotti & W. Xu (Eds.), 33rd USENIX Security Symposium,
USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024. USENIX Association.'
bibtex: '@inproceedings{Panahi_Robertson_Acar_Bardas_Kohno_Simko_2024, title={"But
they have overlooked a few things in Afghanistan: " An Analysis of the Integration
of Biometric Voter Verification in the 2019 Afghan Presidential Elections}, booktitle={33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024}, publisher={USENIX Association}, author={Panahi, Kabir and Robertson,
Shawn and Acar, Yasemin and Bardas, Alexandru G. and Kohno, Tadayoshi and Simko,
Lucy}, editor={Balzarotti, Davide and Xu, Wenyuan}, year={2024} }'
chicago: 'Panahi, Kabir, Shawn Robertson, Yasemin Acar, Alexandru G. Bardas, Tadayoshi
Kohno, and Lucy Simko. “"But They Have Overlooked a Few Things in Afghanistan:
" An Analysis of the Integration of Biometric Voter Verification in the 2019 Afghan
Presidential Elections.” In 33rd USENIX Security Symposium, USENIX Security
2024, Philadelphia, PA, USA, August 14-16, 2024, edited by Davide Balzarotti
and Wenyuan Xu. USENIX Association, 2024.'
ieee: 'K. Panahi, S. Robertson, Y. Acar, A. G. Bardas, T. Kohno, and L. Simko, “"But
they have overlooked a few things in Afghanistan: " An Analysis of the Integration
of Biometric Voter Verification in the 2019 Afghan Presidential Elections,” in
33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA,
August 14-16, 2024, 2024.'
mla: 'Panahi, Kabir, et al. “"But They Have Overlooked a Few Things in Afghanistan:
" An Analysis of the Integration of Biometric Voter Verification in the 2019 Afghan
Presidential Elections.” 33rd USENIX Security Symposium, USENIX Security 2024,
Philadelphia, PA, USA, August 14-16, 2024, edited by Davide Balzarotti and
Wenyuan Xu, USENIX Association, 2024.'
short: 'K. Panahi, S. Robertson, Y. Acar, A.G. Bardas, T. Kohno, L. Simko, in: D.
Balzarotti, W. Xu (Eds.), 33rd USENIX Security Symposium, USENIX Security 2024,
Philadelphia, PA, USA, August 14-16, 2024, USENIX Association, 2024.'
date_created: 2024-08-19T08:34:15Z
date_updated: 2024-08-19T08:53:38Z
department:
- _id: '740'
editor:
- first_name: Davide
full_name: Balzarotti, Davide
last_name: Balzarotti
- first_name: Wenyuan
full_name: Xu, Wenyuan
last_name: Xu
language:
- iso: eng
publication: 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA,
USA, August 14-16, 2024
publisher: USENIX Association
status: public
title: '"But they have overlooked a few things in Afghanistan: " An Analysis of the
Integration of Biometric Voter Verification in the 2019 Afghan Presidential Elections'
type: conference
user_id: '15458'
year: '2024'
...
---
_id: '55642'
author:
- first_name: Harshini Sri
full_name: Ramulu, Harshini Sri
last_name: Ramulu
- first_name: Helen
full_name: Schmitt, Helen
last_name: Schmitt
- first_name: Dominik
full_name: Wermke, Dominik
last_name: Wermke
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
citation:
ama: 'Ramulu HS, Schmitt H, Wermke D, Acar Y. Security and Privacy Software Creators’
Perspectives on Unintended Consequences. In: Balzarotti D, Xu W, eds. 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024. USENIX Association; 2024.'
apa: Ramulu, H. S., Schmitt, H., Wermke, D., & Acar, Y. (2024). Security and
Privacy Software Creators’ Perspectives on Unintended Consequences. In D. Balzarotti
& W. Xu (Eds.), 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia,
PA, USA, August 14-16, 2024. USENIX Association.
bibtex: '@inproceedings{Ramulu_Schmitt_Wermke_Acar_2024, title={Security and Privacy
Software Creators’ Perspectives on Unintended Consequences}, booktitle={33rd USENIX
Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August 14-16,
2024}, publisher={USENIX Association}, author={Ramulu, Harshini Sri and Schmitt,
Helen and Wermke, Dominik and Acar, Yasemin}, editor={Balzarotti, Davide and Xu,
Wenyuan}, year={2024} }'
chicago: Ramulu, Harshini Sri, Helen Schmitt, Dominik Wermke, and Yasemin Acar.
“Security and Privacy Software Creators’ Perspectives on Unintended Consequences.”
In 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA,
USA, August 14-16, 2024, edited by Davide Balzarotti and Wenyuan Xu. USENIX
Association, 2024.
ieee: H. S. Ramulu, H. Schmitt, D. Wermke, and Y. Acar, “Security and Privacy Software
Creators’ Perspectives on Unintended Consequences,” in 33rd USENIX Security
Symposium, USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024,
2024.
mla: Ramulu, Harshini Sri, et al. “Security and Privacy Software Creators’ Perspectives
on Unintended Consequences.” 33rd USENIX Security Symposium, USENIX Security
2024, Philadelphia, PA, USA, August 14-16, 2024, edited by Davide Balzarotti
and Wenyuan Xu, USENIX Association, 2024.
short: 'H.S. Ramulu, H. Schmitt, D. Wermke, Y. Acar, in: D. Balzarotti, W. Xu (Eds.),
33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024, USENIX Association, 2024.'
date_created: 2024-08-19T08:42:02Z
date_updated: 2024-08-19T08:53:32Z
department:
- _id: '740'
editor:
- first_name: Davide
full_name: Balzarotti, Davide
last_name: Balzarotti
- first_name: Wenyuan
full_name: Xu, Wenyuan
last_name: Xu
language:
- iso: eng
publication: 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA,
USA, August 14-16, 2024
publisher: USENIX Association
status: public
title: Security and Privacy Software Creators’ Perspectives on Unintended Consequences
type: conference
user_id: '15458'
year: '2024'
...
---
_id: '55667'
abstract:
- lang: eng
text: This study investigates how 11- to 12-year-old students construct
data-based decision trees using data cards for classification purposes. We examine
the students' heuristics and reasoning during this process. The research is based
on an eight-week teaching unit during which students labeled data, built decision
trees, and assessed them using test data. They learned to manually construct decision
trees to classify food items as recommendable or not. They utilized data cards
with a heuristic that is a simplified form of a machine learning algorithm. We
report on evidence that this topic is teachable to middle school students, along
with insights for refining our teaching approach and broader implications for
teaching machine learning at the school level.
article_number: '3'
author:
- first_name: Franz Yannik
full_name: Fleischer, Franz Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: Fleischer FY, Podworny S, Biehler R. Teaching and Learning to Construct Data-Based
Decision Trees Using Data Cards as the First Introduction to Machine Learning
in Middle School. Statistics Education Research Journal. 2024;23(1). doi:10.52041/serj.v23i1.450
apa: Fleischer, F. Y., Podworny, S., & Biehler, R. (2024). Teaching and Learning
to Construct Data-Based Decision Trees Using Data Cards as the First Introduction
to Machine Learning in Middle School. Statistics Education Research Journal,
23(1), Article 3. https://doi.org/10.52041/serj.v23i1.450
bibtex: '@article{Fleischer_Podworny_Biehler_2024, title={Teaching and Learning
to Construct Data-Based Decision Trees Using Data Cards as the First Introduction
to Machine Learning in Middle School}, volume={23}, DOI={10.52041/serj.v23i1.450},
number={13}, journal={Statistics Education Research Journal}, publisher={International
Association for Statistical Education}, author={Fleischer, Franz Yannik and Podworny,
Susanne and Biehler, Rolf}, year={2024} }'
chicago: Fleischer, Franz Yannik, Susanne Podworny, and Rolf Biehler. “Teaching
and Learning to Construct Data-Based Decision Trees Using Data Cards as the First
Introduction to Machine Learning in Middle School.” Statistics Education Research
Journal 23, no. 1 (2024). https://doi.org/10.52041/serj.v23i1.450.
ieee: 'F. Y. Fleischer, S. Podworny, and R. Biehler, “Teaching and Learning to Construct
Data-Based Decision Trees Using Data Cards as the First Introduction to Machine
Learning in Middle School,” Statistics Education Research Journal, vol.
23, no. 1, Art. no. 3, 2024, doi: 10.52041/serj.v23i1.450.'
mla: Fleischer, Franz Yannik, et al. “Teaching and Learning to Construct Data-Based
Decision Trees Using Data Cards as the First Introduction to Machine Learning
in Middle School.” Statistics Education Research Journal, vol. 23, no.
1, 3, International Association for Statistical Education, 2024, doi:10.52041/serj.v23i1.450.
short: F.Y. Fleischer, S. Podworny, R. Biehler, Statistics Education Research Journal
23 (2024).
date_created: 2024-08-21T09:59:33Z
date_updated: 2024-08-21T10:02:38Z
department:
- _id: '363'
doi: 10.52041/serj.v23i1.450
intvolume: ' 23'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.52041/serj.v23i1.450
oa: '1'
publication: Statistics Education Research Journal
publication_identifier:
issn:
- 1570-1824
publication_status: published
publisher: International Association for Statistical Education
status: public
title: Teaching and Learning to Construct Data-Based Decision Trees Using Data Cards
as the First Introduction to Machine Learning in Middle School
type: journal_article
user_id: '37888'
volume: 23
year: '2024'
...
---
_id: '55751'
abstract:
- lang: eng
text: Lateral leakage of TM modes in dielectric optical waveguides of rib/ridge
or strip-loaded types can be fully suppressed, if the waveguide core is formed
not through a strip that protrudes at one side (up) from the remaining lateral
guiding slab, but through parallel strips on both sides (up and down), such that
the resulting cross section becomes vertically symmetric. The fairly general arguments
underlying the leakage suppression apply to TM modes of all orders simultaneously,
and are independent of wavelength. These plus-shaped waveguides support strictly
guided, non-leaky TM modes for, in principle, arbitrarily shallow etching.
article_type: original
author:
- first_name: Necati
full_name: Üstün, Necati
last_name: Üstün
- first_name: Henna
full_name: Farheen, Henna
id: '53444'
last_name: Farheen
orcid: 0000-0001-7730-3489
- first_name: Manfred
full_name: Hammer, Manfred
id: '48077'
last_name: Hammer
orcid: 0000-0002-6331-9348
- first_name: Jens
full_name: Förstner, Jens
id: '158'
last_name: Förstner
orcid: 0000-0001-7059-9862
citation:
ama: Üstün N, Farheen H, Hammer M, Förstner J. Symmetry-protected TM modes in rib-like,
plus-shaped optical waveguides with shallow etching. Journal of the Optical
Society of America B. 2024;41(9):2077. doi:10.1364/josab.528729
apa: Üstün, N., Farheen, H., Hammer, M., & Förstner, J. (2024). Symmetry-protected
TM modes in rib-like, plus-shaped optical waveguides with shallow etching. Journal
of the Optical Society of America B, 41(9), 2077. https://doi.org/10.1364/josab.528729
bibtex: '@article{Üstün_Farheen_Hammer_Förstner_2024, title={Symmetry-protected
TM modes in rib-like, plus-shaped optical waveguides with shallow etching}, volume={41},
DOI={10.1364/josab.528729},
number={9}, journal={Journal of the Optical Society of America B}, publisher={Optica
Publishing Group}, author={Üstün, Necati and Farheen, Henna and Hammer, Manfred
and Förstner, Jens}, year={2024}, pages={2077} }'
chicago: 'Üstün, Necati, Henna Farheen, Manfred Hammer, and Jens Förstner. “Symmetry-Protected
TM Modes in Rib-like, plus-Shaped Optical Waveguides with Shallow Etching.” Journal
of the Optical Society of America B 41, no. 9 (2024): 2077. https://doi.org/10.1364/josab.528729.'
ieee: 'N. Üstün, H. Farheen, M. Hammer, and J. Förstner, “Symmetry-protected TM
modes in rib-like, plus-shaped optical waveguides with shallow etching,” Journal
of the Optical Society of America B, vol. 41, no. 9, p. 2077, 2024, doi: 10.1364/josab.528729.'
mla: Üstün, Necati, et al. “Symmetry-Protected TM Modes in Rib-like, plus-Shaped
Optical Waveguides with Shallow Etching.” Journal of the Optical Society of
America B, vol. 41, no. 9, Optica Publishing Group, 2024, p. 2077, doi:10.1364/josab.528729.
short: N. Üstün, H. Farheen, M. Hammer, J. Förstner, Journal of the Optical Society
of America B 41 (2024) 2077.
date_created: 2024-08-25T10:24:58Z
date_updated: 2024-08-25T10:48:42Z
ddc:
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department:
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doi: 10.1364/josab.528729
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publication: Journal of the Optical Society of America B
publication_identifier:
issn:
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publisher: Optica Publishing Group
status: public
title: Symmetry-protected TM modes in rib-like, plus-shaped optical waveguides with
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type: journal_article
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---
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author:
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full_name: Biehler, Rolf
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last_name: Biehler
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
citation:
ama: 'Biehler R, Frischemeier D. Eine inklusive Lehr-Lernumgebung für die Leitidee
„Daten und Zufall“ in der Primarstufe. In: Inklusives Lehren und Lernen von
Mathematik. Springer Fachmedien Wiesbaden; 2024. doi:10.1007/978-3-658-43964-4_13'
apa: Biehler, R., & Frischemeier, D. (2024). Eine inklusive Lehr-Lernumgebung
für die Leitidee „Daten und Zufall“ in der Primarstufe. In Inklusives Lehren
und Lernen von Mathematik. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-43964-4_13
bibtex: '@inbook{Biehler_Frischemeier_2024, place={Wiesbaden}, title={Eine inklusive
Lehr-Lernumgebung für die Leitidee „Daten und Zufall“ in der Primarstufe}, DOI={10.1007/978-3-658-43964-4_13},
booktitle={Inklusives Lehren und Lernen von Mathematik}, publisher={Springer Fachmedien
Wiesbaden}, author={Biehler, Rolf and Frischemeier, Daniel}, year={2024} }'
chicago: 'Biehler, Rolf, and Daniel Frischemeier. “Eine inklusive Lehr-Lernumgebung
für die Leitidee „Daten und Zufall“ in der Primarstufe.” In Inklusives Lehren
und Lernen von Mathematik. Wiesbaden: Springer Fachmedien Wiesbaden, 2024.
https://doi.org/10.1007/978-3-658-43964-4_13.'
ieee: 'R. Biehler and D. Frischemeier, “Eine inklusive Lehr-Lernumgebung für die
Leitidee „Daten und Zufall“ in der Primarstufe,” in Inklusives Lehren und Lernen
von Mathematik, Wiesbaden: Springer Fachmedien Wiesbaden, 2024.'
mla: Biehler, Rolf, and Daniel Frischemeier. “Eine inklusive Lehr-Lernumgebung für
die Leitidee „Daten und Zufall“ in der Primarstufe.” Inklusives Lehren und
Lernen von Mathematik, Springer Fachmedien Wiesbaden, 2024, doi:10.1007/978-3-658-43964-4_13.
short: 'R. Biehler, D. Frischemeier, in: Inklusives Lehren und Lernen von Mathematik,
Springer Fachmedien Wiesbaden, Wiesbaden, 2024.'
date_created: 2024-08-26T09:18:57Z
date_updated: 2024-08-26T09:33:50Z
department:
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doi: 10.1007/978-3-658-43964-4_13
language:
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url: https://doi.org/10.1007/978-3-658-43964-4_13
oa: '1'
place: Wiesbaden
publication: Inklusives Lehren und Lernen von Mathematik
publication_identifier:
isbn:
- '9783658439637'
- '9783658439644'
publication_status: published
publisher: Springer Fachmedien Wiesbaden
status: public
title: Eine inklusive Lehr-Lernumgebung für die Leitidee „Daten und Zufall“ in der
Primarstufe
type: book_chapter
user_id: '37888'
year: '2024'
...
---
_id: '55758'
author:
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
citation:
ama: 'Biehler R, Frischemeier D. Daten-Spürnasen Auf Spurensuche: Datenanalyse
in Der Grundschule Mit Digitalen Werkzeugen. Klett Kallmeyer; 2024.'
apa: 'Biehler, R., & Frischemeier, D. (2024). Daten-Spürnasen auf Spurensuche:
Datenanalyse in der Grundschule mit digitalen Werkzeugen. Klett Kallmeyer.'
bibtex: '@book{Biehler_Frischemeier_2024, title={Daten-Spürnasen auf Spurensuche:
Datenanalyse in der Grundschule mit digitalen Werkzeugen}, publisher={Klett Kallmeyer},
author={Biehler, Rolf and Frischemeier, Daniel}, year={2024} }'
chicago: 'Biehler, Rolf, and Daniel Frischemeier. Daten-Spürnasen Auf Spurensuche:
Datenanalyse in Der Grundschule Mit Digitalen Werkzeugen. Klett Kallmeyer,
2024.'
ieee: 'R. Biehler and D. Frischemeier, Daten-Spürnasen auf Spurensuche: Datenanalyse
in der Grundschule mit digitalen Werkzeugen. Klett Kallmeyer, 2024.'
mla: 'Biehler, Rolf, and Daniel Frischemeier. Daten-Spürnasen Auf Spurensuche:
Datenanalyse in Der Grundschule Mit Digitalen Werkzeugen. Klett Kallmeyer,
2024.'
short: 'R. Biehler, D. Frischemeier, Daten-Spürnasen Auf Spurensuche: Datenanalyse
in Der Grundschule Mit Digitalen Werkzeugen, Klett Kallmeyer, 2024.'
date_created: 2024-08-26T09:38:05Z
date_updated: 2024-08-26T09:38:17Z
department:
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language:
- iso: eng
publisher: Klett Kallmeyer
status: public
title: 'Daten-Spürnasen auf Spurensuche: Datenanalyse in der Grundschule mit digitalen
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type: book
user_id: '37888'
year: '2024'
...
---
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author:
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full_name: Kovács, Balázs
id: '100441'
last_name: Kovács
orcid: 0000-0001-9872-3474
citation:
ama: Kovács B. Numerical surgery for mean curvature flow of surfaces. SIAM Journal
on Scientific Computing. 2024;46(2):A645--A669. doi:10.1137/22M1531919
apa: Kovács, B. (2024). Numerical surgery for mean curvature flow of surfaces. SIAM
Journal on Scientific Computing, 46(2), A645--A669. https://doi.org/10.1137/22M1531919
bibtex: '@article{Kovács_2024, title={Numerical surgery for mean curvature flow
of surfaces}, volume={46}, DOI={10.1137/22M1531919},
number={2}, journal={SIAM Journal on Scientific Computing}, author={Kovács, Balázs},
year={2024}, pages={A645--A669} }'
chicago: 'Kovács, Balázs. “Numerical Surgery for Mean Curvature Flow of Surfaces.”
SIAM Journal on Scientific Computing 46, no. 2 (2024): A645--A669. https://doi.org/10.1137/22M1531919.'
ieee: 'B. Kovács, “Numerical surgery for mean curvature flow of surfaces,” SIAM
Journal on Scientific Computing, vol. 46, no. 2, pp. A645--A669, 2024, doi:
10.1137/22M1531919.'
mla: Kovács, Balázs. “Numerical Surgery for Mean Curvature Flow of Surfaces.” SIAM
Journal on Scientific Computing, vol. 46, no. 2, 2024, pp. A645--A669, doi:10.1137/22M1531919.
short: B. Kovács, SIAM Journal on Scientific Computing 46 (2024) A645--A669.
date_created: 2023-07-10T12:32:34Z
date_updated: 2024-08-27T07:42:56Z
department:
- _id: '841'
doi: 10.1137/22M1531919
extern: '1'
intvolume: ' 46'
issue: '2'
language:
- iso: eng
page: A645--A669
publication: SIAM Journal on Scientific Computing
status: public
title: Numerical surgery for mean curvature flow of surfaces
type: journal_article
user_id: '100441'
volume: 46
year: '2024'
...
---
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author:
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full_name: Razavi, Kamran
last_name: Razavi
- first_name: Shayan
full_name: Davari Fard, Shayan
last_name: Davari Fard
- first_name: George
full_name: Karlos, George
last_name: Karlos
- first_name: Vinod
full_name: Nigade, Vinod
last_name: Nigade
- first_name: Max
full_name: Mühlhäuser, Max
last_name: Mühlhäuser
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
citation:
ama: 'Razavi K, Davari Fard S, Karlos G, Nigade V, Mühlhäuser M, Wang L. NetNN:
Neural Intrusion Detection System in Programmable Networks (Second Best Paper
Award). In: Proceedings of the IEEE International Symposium on Computers and
Communications (ISCC). ; 2024.'
apa: 'Razavi, K., Davari Fard, S., Karlos, G., Nigade, V., Mühlhäuser, M., &
Wang, L. (2024). NetNN: Neural Intrusion Detection System in Programmable Networks
(Second Best Paper Award). Proceedings of the IEEE International Symposium
on Computers and Communications (ISCC). 29th IEEE International Symposium
on Computers and Communications (ISCC), Paris, France.'
bibtex: '@inproceedings{Razavi_Davari Fard_Karlos_Nigade_Mühlhäuser_Wang_2024, title={NetNN:
Neural Intrusion Detection System in Programmable Networks (Second Best Paper
Award)}, booktitle={Proceedings of the IEEE International Symposium on Computers
and Communications (ISCC)}, author={Razavi, Kamran and Davari Fard, Shayan and
Karlos, George and Nigade, Vinod and Mühlhäuser, Max and Wang, Lin}, year={2024}
}'
chicago: 'Razavi, Kamran, Shayan Davari Fard, George Karlos, Vinod Nigade, Max Mühlhäuser,
and Lin Wang. “NetNN: Neural Intrusion Detection System in Programmable Networks
(Second Best Paper Award).” In Proceedings of the IEEE International Symposium
on Computers and Communications (ISCC), 2024.'
ieee: 'K. Razavi, S. Davari Fard, G. Karlos, V. Nigade, M. Mühlhäuser, and L. Wang,
“NetNN: Neural Intrusion Detection System in Programmable Networks (Second Best
Paper Award),” presented at the 29th IEEE International Symposium on Computers
and Communications (ISCC), Paris, France, 2024.'
mla: 'Razavi, Kamran, et al. “NetNN: Neural Intrusion Detection System in Programmable
Networks (Second Best Paper Award).” Proceedings of the IEEE International
Symposium on Computers and Communications (ISCC), 2024.'
short: 'K. Razavi, S. Davari Fard, G. Karlos, V. Nigade, M. Mühlhäuser, L. Wang,
in: Proceedings of the IEEE International Symposium on Computers and Communications
(ISCC), 2024.'
conference:
end_date: 2024-06-29
location: Paris, France
name: 29th IEEE International Symposium on Computers and Communications (ISCC)
start_date: 2024-06-26
date_created: 2024-07-23T19:55:16Z
date_updated: 2024-08-28T13:56:18Z
department:
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- _id: '75'
language:
- iso: eng
publication: Proceedings of the IEEE International Symposium on Computers and Communications
(ISCC)
status: public
title: 'NetNN: Neural Intrusion Detection System in Programmable Networks (Second
Best Paper Award)'
type: conference
user_id: '102868'
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...
---
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author:
- first_name: Kamran
full_name: Razavi, Kamran
last_name: Razavi
- first_name: Saeid
full_name: Ghafouri, Saeid
last_name: Ghafouri
- first_name: Max
full_name: Mühlhäuser, Max
last_name: Mühlhäuser
- first_name: Pooyan
full_name: Jamshidi, Pooyan
last_name: Jamshidi
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
citation:
ama: 'Razavi K, Ghafouri S, Mühlhäuser M, Jamshidi P, Wang L. Sponge: Inference
Serving with Dynamic SLOs Using In-Place Vertical Scaling. In: Proceedings
of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with
EuroSys 2024. ACM; 2024. doi:10.1145/3642970.365583'
apa: 'Razavi, K., Ghafouri, S., Mühlhäuser, M., Jamshidi, P., & Wang, L. (2024).
Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. Proceedings
of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with
EuroSys 2024. 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated
with EuroSys 2024, Athens, Greece. https://doi.org/10.1145/3642970.365583'
bibtex: '@inproceedings{Razavi_Ghafouri_Mühlhäuser_Jamshidi_Wang_2024, title={Sponge:
Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling}, DOI={10.1145/3642970.365583}, booktitle={Proceedings
of the 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with
EuroSys 2024}, publisher={ACM}, author={Razavi, Kamran and Ghafouri, Saeid and
Mühlhäuser, Max and Jamshidi, Pooyan and Wang, Lin}, year={2024} }'
chicago: 'Razavi, Kamran, Saeid Ghafouri, Max Mühlhäuser, Pooyan Jamshidi, and Lin
Wang. “Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling.”
In Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys),
Colocated with EuroSys 2024. ACM, 2024. https://doi.org/10.1145/3642970.365583.'
ieee: 'K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, and L. Wang, “Sponge:
Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling,” presented
at the 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with
EuroSys 2024, Athens, Greece, 2024, doi: 10.1145/3642970.365583.'
mla: 'Razavi, Kamran, et al. “Sponge: Inference Serving with Dynamic SLOs Using
In-Place Vertical Scaling.” Proceedings of the 4th Workshop on Machine Learning
and Systems (EuroMLSys), Colocated with EuroSys 2024, ACM, 2024, doi:10.1145/3642970.365583.'
short: 'K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, L. Wang, in: Proceedings
of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with
EuroSys 2024, ACM, 2024.'
conference:
end_date: 2024-04-22
location: Athens, Greece
name: 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys
2024
start_date: 2024-04-22
date_created: 2024-03-28T12:00:49Z
date_updated: 2024-08-28T14:00:46Z
department:
- _id: '34'
- _id: '7'
- _id: '75'
doi: 10.1145/3642970.365583
language:
- iso: eng
publication: Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys),
colocated with EuroSys 2024
publisher: ACM
status: public
title: 'Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling'
type: conference
user_id: '102868'
year: '2024'
...