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10720 Publications
2022 | Conference Paper | LibreCat-ID: 47288
Jancar, Jan, Marcel Fourné, Daniel De Almeida Braga, Mohamed Sabt, Peter Schwabe, Gilles Barthe, Pierre-Alain Fouque, and Yasemin Acar. “‘They’re Not That Hard to Mitigate’: What Cryptographic Library Developers Think About Timing Attacks.” In 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 632–649. IEEE, 2022. https://doi.org/10.1109/SP46214.2022.9833713.
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2022 | Conference Paper | LibreCat-ID: 47285
Wermke, Dominik, Noah Wöhler, Jan H. Klemmer, Marcel Fourné, Yasemin Acar, and Sascha Fahl. “Committed to Trust: A Qualitative Study on Security & Trust in Open Source Software Projects.” In 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 1880–1896. IEEE, 2022. https://doi.org/10.1109/SP46214.2022.9833686.
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2022 | Conference Paper | LibreCat-ID: 47284
Munyendo, Collins W., Yasemin Acar, and Adam J. Aviv. “‘Desperate Times Call for Desperate Measures’: User Concerns with Mobile Loan Apps in Kenya.” In 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 2304–2319. IEEE, 2022. https://doi.org/10.1109/SP46214.2022.9833779.
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2022 | Journal Article | LibreCat-ID: 47281
Krause, Alexander, Jan H. Klemmer, Nicolas Huaman, Dominik Wermke, Yasemin Acar, and Sascha Fahl. “Committed by Accident: Studying Prevention and Remediation Strategies Against Secret Leakage in Source Code Repositories.” CoRR abs/2211.06213 (2022). https://doi.org/10.48550/arXiv.2211.06213.
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2022 | Conference Paper | LibreCat-ID: 46307
Seiler, Moritz, Raphael Patrick Prager, Pascal Kerschke, and Heike Trautmann. “A Collection of Deep Learning-Based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes.” In Proceedings of the Genetic and Evolutionary Computation Conference, 657–665. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3512290.3528834.
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2022 | Conference Paper | LibreCat-ID: 46304
Prager, Raphael Patrick, Moritz Seiler, Heike Trautmann, and Pascal Kerschke. “Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.” In Parallel Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tušar, 3–17. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14714-2_1.
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2022 | Conference Paper | LibreCat-ID: 46303
Pohl, Janina Susanne, Dennis Assenmacher, Moritz Seiler, Heike Trautmann, and Christian Grimme. “Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.” In Workshop Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM), edited by for the Advancement of Artificial Intelligence (AAAI) Association, 1–10. Palo Alto, CA, USA: AAAI Press, 2022. https://doi.org/10.36190/2022.91.
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2022 | Journal Article | LibreCat-ID: 46309
Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences 12, no. 8 (2022): 1–44. https://doi.org/10.3390/app12189094.
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2022 | Conference Paper | LibreCat-ID: 46305
Rook, J, Heike Trautmann, Jakob Bossek, and C Grimme. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, edited by J Fieldsend and M. Wagner, 356–359–356–359. GECCO ’22. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3520304.3528998.
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2022 | Conference Paper | LibreCat-ID: 46302
Heins, J, J Rook, L Schäpermeier, P Kerschke, Jakob Bossek, and Heike Trautmann. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” In Parallel Problem Solving from Nature — PPSN XVII, edited by G Rudolph, AV Kononova, H Aguirre, P Kerschke, G Ochoa, and T Tušar, 192–206. Cham: Springer International Publishing, 2022.
LibreCat
2022 | Journal Article | LibreCat-ID: 28413 | 
Farheen, Henna, Till Leuteritz, Stefan Linden, Viktor Myroshnychenko, and Jens Förstner. “Optimization of Optical Waveguide Antennas for Directive Emission of Light.” Journal of the Optical Society of America B 39, no. 1 (2022): 83. https://doi.org/10.1364/josab.438514.
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2022 | Journal Article | LibreCat-ID: 29075
Alhaddad, Samer, Yevgen Grynko, Henna Farheen, and Jens Förstner. “Numerical Analysis of the Coherent Mechanism Producing Negative Polarization at Backscattering from Systems of Absorbing Particles.” Optics Letters 47, no. 1 (2022): 58. https://doi.org/10.1364/ol.444953.
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| Files available
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2022 | Journal Article | LibreCat-ID: 31329
Farheen, Henna, Lok-Yee Yan, Viktor Quiring, Christof Eigner, Thomas Zentgraf, Stefan Linden, Jens Förstner, and Viktor Myroshnychenko. “Broadband Optical Ta2O5 Antennas for Directional Emission of Light.” Optics Express 30, no. 11 (2022): 19288. https://doi.org/10.1364/oe.455815.
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2022 | Journal Article | LibreCat-ID: 55280
Elsholtz, Ch., B. Klahn, and Marc Technau. “On Polynomials with Roots modulo Almost All Primes.” Acta Arith. 205:3, no. 3 (2022): 251–263. https://doi.org/10.4064/aa220407-9-7.
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2022 | Conference Paper | LibreCat-ID: 55337
Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.” In Proceedings of the 29th International Conference on Computational Linguistics, edited by Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, et al., 344–354. Gyeongju, Republic of Korea: International Committee on Computational Linguistics, 2022.
LibreCat
2022 | Conference Paper | LibreCat-ID: 34067
Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” In Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.
LibreCat
2022 | Conference Paper | LibreCat-ID: 35674
Fleischer, Franz Yannik, Sven Hüsing, Rolf Biehler, Susanne Podworny, and Carsten Schulte. “Jupyter Notebooks for Teaching, Learning, and Doing Data Science.” In Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, edited by S. A. Peters, L. Zapata-Cardona, F. Bonafini, and A. Fan. International Association for Statistical Education, 2022. https://doi.org/10.52041/iase.icots11.t10e3.
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2022 | Journal Article | LibreCat-ID: 35672
Fleischer, Franz Yannik, Rolf Biehler, and Carsten Schulte. “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.” Statistics Education Research Journal 21, no. 2 (2022). https://doi.org/10.52041/serj.v21i2.61.
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2022 | Journal Article | LibreCat-ID: 34716
Terhörst, Philipp, Jan Niklas Kolf, Marco Huber, Florian Kirchbuchner, Naser Damer, Aythami Morales Moreno, Julian Fierrez, and Arjan Kuijper. “A Comprehensive Study on Face Recognition Biases Beyond Demographics.” IEEE Transactions on Technology and Society 3, no. 1 (2022): 16–30. https://doi.org/10.1109/TTS.2021.3111823.
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2022 | Conference Paper | LibreCat-ID: 34710
Huber, Marco, Philipp Terhörst, Anh Thi Luu, Florian Kirchbuchner, and Naser Damer. “Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-Aware Face Recognition.” In 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022, 938–944. IEEE, 2022. https://doi.org/10.1109/ICPR56361.2022.9956452.
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