Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

5786 Publications


2022 | Conference Paper | LibreCat-ID: 29290 | OA
Heindorf, Stefan, et al. “EvoLearner: Learning Description Logics with Evolutionary Algorithms.” WWW, ACM, 2022, pp. 818–28, doi:10.1145/3485447.3511925.
LibreCat | DOI | Download (ext.)
 

2022 | Journal Article | LibreCat-ID: 29851 | OA
Pestryakova, Svetlana, et al. “CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications.” Scientific Data, 2022, doi:10.1038/s41597-022-01298-2.
LibreCat | DOI | Download (ext.)
 

2022 | Conference Paper | LibreCat-ID: 34674 | OA
Sieger, Leonie Nora, et al. “User Involvement in Training Smart Home Agents.” International Conference on Human-Agent Interaction, ACM, 2022, doi:10.1145/3527188.3561914.
LibreCat | Files available | DOI | Download (ext.)
 

2022 | Conference Paper | LibreCat-ID: 52924
Tirtarasa, Satyadharma, and Anni-Yasmin Turhan. “Computing Generalizations of Temporal ΕL Concepts with next and Global.” SAC ’22: The 37th {ACM/SIGAPP} Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022, edited by Jiman Hong et al., ACM, 2022, pp. 903–910, doi:10.1145/3477314.3507136.
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 52918
Baader, Franz, et al. “Efficient TBox Reasoning with Value Restrictions Using the Flower Reasoner.” Theory Pract. Log. Program., vol. 22, no. 2, 2022, pp. 162–192, doi:10.1017/S1471068421000466.
LibreCat | DOI
 

2022 | Book Chapter | LibreCat-ID: 54585
Manzoor, Ali, et al. “REBench: Microbenchmarking Framework for Relation Extraction Systems.” The Semantic Web – ISWC 2022, Springer International Publishing, 2022, doi:10.1007/978-3-031-19433-7_37.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 47289
Huaman, Nicolas, et al. “If You Can’t Get Them to the Lab: Evaluating a Virtual Study Environment with Security Information Workers.” Eighteenth Symposium on Usable Privacy and Security, SOUPS 2022, Boston, MA, USA, August 7-9, 2022, edited by Sonia Chiasson and Apu Kapadia, USENIX Association, 2022, pp. 313–330.
LibreCat
 

2022 | Conference Paper | LibreCat-ID: 47844
Jancar, Jan, et al. “‘They’re Not That Hard to Mitigate’: What Cryptographic Library Developers Think About Timing Attacks.” 2022 IEEE Symposium on Security and Privacy (SP), IEEE, 2022, doi:10.1109/sp46214.2022.9833713.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 47286
Gutfleisch, Marco, et al. “How Does Usable Security (Not) End Up in Software Products? Results From a Qualitative Interview Study.” 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, IEEE, 2022, pp. 893–910, doi:10.1109/SP46214.2022.9833756.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 47287
Stransky, Christian, et al. “27 Years and 81 Million Opportunities Later: Investigating the Use of Email Encryption for an Entire University.” 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, IEEE, 2022, pp. 860–875, doi:10.1109/SP46214.2022.9833755.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 47283
Kaur, Harjot, et al. “Where to Recruit for Security Development Studies: Comparing Six Software Developer Samples.” 31st USENIX Security Symposium, USENIX Security 2022, Boston, MA, USA, August 10-12, 2022, edited by Kevin R. B. Butler and Kurt Thomas, USENIX Association, 2022, pp. 4041–4058.
LibreCat
 

2022 | Journal Article | LibreCat-ID: 47290
Huaman, Nicolas, et al. “They Would Do Better If They Worked Together: Interaction Problems Between Password Managers and the Web.” IEEE Secur. Priv., vol. 20, no. 2, 2022, pp. 49–60, doi:10.1109/MSEC.2021.3123795.
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 47282
Schmüser, Juliane, et al. “‘Please Help Share!’: Security and Privacy Advice on Twitter during the 2022 Russian Invasion of Ukraine.” CoRR, vol. abs/2208.11581, 2022, doi:10.48550/arXiv.2208.11581.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 47843
Wermke, Dominik, et al. “Committed to Trust: A Qualitative Study on Security & Trust in Open Source Software Projects.” 2022 IEEE Symposium on Security and Privacy (SP), IEEE, 2022, doi:10.1109/sp46214.2022.9833686.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 47288
Jancar, Jan, et al. “‘They’re Not That Hard to Mitigate’: What Cryptographic Library Developers Think About Timing Attacks.” 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, IEEE, 2022, pp. 632–649, doi:10.1109/SP46214.2022.9833713.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 47285
Wermke, Dominik, et al. “Committed to Trust: A Qualitative Study on Security & Trust in Open Source Software Projects.” 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, IEEE, 2022, pp. 1880–1896, doi:10.1109/SP46214.2022.9833686.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 47284
Munyendo, Collins W., et al. “‘Desperate Times Call for Desperate Measures’: User Concerns with Mobile Loan Apps in Kenya.” 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, IEEE, 2022, pp. 2304–2319, doi:10.1109/SP46214.2022.9833779.
LibreCat | DOI
 

2022 | Journal Article | LibreCat-ID: 47281
Krause, Alexander, et al. “Committed by Accident: Studying Prevention and Remediation Strategies Against Secret Leakage in Source Code Repositories.” CoRR, vol. abs/2211.06213, 2022, doi:10.48550/arXiv.2211.06213.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 46307
Seiler, Moritz, et al. “A Collection of Deep Learning-Based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2022, pp. 657–665, doi:10.1145/3512290.3528834.
LibreCat | DOI
 

2022 | Conference Paper | LibreCat-ID: 46304
Prager, Raphael Patrick, et al. “Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.” Parallel Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 3–17, doi:10.1007/978-3-031-14714-2_1.
LibreCat | DOI
 

Filters and Search Terms

department=7

Search

Filter Publications

Display / Sort

Citation Style: MLA

Export / Embed