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5928 Publications
2022 | Conference Paper | LibreCat-ID: 47843
D. Wermke, N. Wohler, J. H. Klemmer, M. Fourné, Y. Acar, and S. Fahl, “Committed to Trust: A Qualitative Study on Security & Trust in Open Source Software Projects,” 2022, doi: 10.1109/sp46214.2022.9833686.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 47288
J. Jancar et al., “‘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, 2022, pp. 632–649, doi: 10.1109/SP46214.2022.9833713.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 47285
D. Wermke, N. Wöhler, J. H. Klemmer, M. Fourné, Y. Acar, and S. 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, 2022, pp. 1880–1896, doi: 10.1109/SP46214.2022.9833686.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 47284
C. W. Munyendo, Y. Acar, and A. 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, 2022, pp. 2304–2319, doi: 10.1109/SP46214.2022.9833779.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 47281
A. Krause, J. H. Klemmer, N. Huaman, D. Wermke, Y. Acar, and S. Fahl, “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
M. Seiler, R. P. Prager, P. Kerschke, and H. 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, 2022, pp. 657–665, doi: 10.1145/3512290.3528834.
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2022 | Conference Paper | LibreCat-ID: 46304
R. P. Prager, M. Seiler, H. Trautmann, and P. 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, 2022, pp. 3–17, doi: 10.1007/978-3-031-14714-2_1.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 46303
J. S. Pohl, D. Assenmacher, M. Seiler, H. Trautmann, and C. 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), 2022, pp. 1–10, doi: 10.36190/2022.91.
LibreCat
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2022 | Journal Article | LibreCat-ID: 46309
L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented Stream Classification Pipeline: A Literature Review,” Applied Sciences, vol. 12, no. 8, pp. 1–44, 2022, doi: 10.3390/app12189094.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 46305
J. Rook, H. Trautmann, J. 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, 2022, pp. 356–359–356–359, doi: 10.1145/3520304.3528998.
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2022 | Conference Paper | LibreCat-ID: 46302
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, and H. Trautmann, “BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems,” in Parallel Problem Solving from Nature — PPSN XVII, 2022, pp. 192–206.
LibreCat
2022 | Conference Paper | LibreCat-ID: 55337
H. Wachsmuth and M. 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, 2022, pp. 344–354.
LibreCat
2022 | Conference Paper | LibreCat-ID: 34067
M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning,” 2022.
LibreCat
2022 | Conference Paper | LibreCat-ID: 35674
F. Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, and C. 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, 2022, doi: 10.52041/iase.icots11.t10e3.
LibreCat
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2022 | Journal Article | LibreCat-ID: 35672
F. Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks,” Statistics Education Research Journal, vol. 21, no. 2, Art. no. 7, 2022, doi: 10.52041/serj.v21i2.61.
LibreCat
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2022 | Journal Article | LibreCat-ID: 34716
P. Terhörst et al., “A Comprehensive Study on Face Recognition Biases Beyond Demographics,” IEEE Transactions on Technology and Society, vol. 3, no. 1, pp. 16–30, 2022, doi: 10.1109/TTS.2021.3111823.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 34710
M. Huber, P. Terhörst, A. T. Luu, F. Kirchbuchner, and N. 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, 2022, pp. 938–944, doi: 10.1109/ICPR56361.2022.9956452.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 34709
D. O. Roig, C. Rathgeb, P. Drozdowski, P. Terhörst, V. Struc, and C. Busch, “An Attack on Facial Soft-Biometric Privacy Enhancement,” IEEE Trans. Biom. Behav. Identity Sci., vol. 4, no. 2, pp. 263–275, 2022, doi: 10.1109/TBIOM.2022.3172724.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 37554
L. Asmar, K. Grigoryan, A. Kuhn, and R. Dumitrescu, “Survey on methods for early prototyping and validation of technical product ideas,” 2022, doi: 10.1109/indin51773.2022.9976130.
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