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.
5950 Publications
2022 | Conference Paper | LibreCat-ID: 47843
Wermke, D., Wohler, N., Klemmer, J. H., Fourné, M., Acar, Y., & Fahl, S. (2022). Committed to Trust: A Qualitative Study on Security & Trust in Open Source Software Projects. 2022 IEEE Symposium on Security and Privacy (SP). https://doi.org/10.1109/sp46214.2022.9833686
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 47288
Jancar, J., Fourné, M., Braga, D. D. A., Sabt, M., Schwabe, P., Barthe, G., Fouque, P.-A., & Acar, Y. (2022). “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, 632–649. https://doi.org/10.1109/SP46214.2022.9833713
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 47285
Wermke, D., Wöhler, N., Klemmer, J. H., Fourné, M., Acar, Y., & Fahl, S. (2022). 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, 1880–1896. https://doi.org/10.1109/SP46214.2022.9833686
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 47284
Munyendo, C. W., Acar, Y., & Aviv, A. J. (2022). “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, 2304–2319. https://doi.org/10.1109/SP46214.2022.9833779
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 47281
Krause, A., Klemmer, J. H., Huaman, N., Wermke, D., Acar, Y., & Fahl, S. (2022). Committed by Accident: Studying Prevention and Remediation Strategies Against Secret Leakage in Source Code Repositories. CoRR, abs/2211.06213. https://doi.org/10.48550/arXiv.2211.06213
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46307
Seiler, M., Prager, R. P., Kerschke, P., & Trautmann, H. (2022). A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes. Proceedings of the Genetic and Evolutionary Computation Conference, 657–665. https://doi.org/10.1145/3512290.3528834
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46304
Prager, R. P., Seiler, M., Trautmann, H., & Kerschke, P. (2022). Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII (pp. 3–17). Springer International Publishing. https://doi.org/10.1007/978-3-031-14714-2_1
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46303
Pohl, J. S., Assenmacher, D., Seiler, M., Trautmann, H., & Grimme, C. (2022). Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches. In for the Advancement of Artificial Intelligence (AAAI) Association (Ed.), Workshop Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM) (pp. 1–10). AAAI Press. https://doi.org/10.36190/2022.91
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 46309
Clever, L., Pohl, J. S., Bossek, J., Kerschke, P., & Trautmann, H. (2022). Process-Oriented Stream Classification Pipeline: A Literature Review. Applied Sciences, 12(8), 1–44. https://doi.org/10.3390/app12189094
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46305
Rook, J., Trautmann, H., Bossek, J., & Grimme, C. (2022). On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. In J. Fieldsend & M. Wagner (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 356–359–356–359). Association for Computing Machinery. https://doi.org/10.1145/3520304.3528998
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46302
Heins, J., Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J., & Trautmann, H. (2022). BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. In G. Rudolph, A. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII (pp. 192–206). Springer International Publishing.
LibreCat
2022 | Conference Paper | LibreCat-ID: 55337
Wachsmuth, H., & Alshomary, M. (2022). “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T. K. Lee, E. Santus, F. Bond, & S.-H. Na (Eds.), Proceedings of the 29th International Conference on Computational Linguistics (pp. 344–354). International Committee on Computational Linguistics.
LibreCat
2022 | Conference Paper | LibreCat-ID: 34067
Sengupta, M., Alshomary, M., & Wachsmuth, H. (2022). Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. Proceedings of the 2022 Workshop on Figurative Language Processing.
LibreCat
2022 | Conference Paper | LibreCat-ID: 35674
Fleischer, F. Y., Hüsing, S., Biehler, R., Podworny, S., & Schulte, C. (2022). Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics. International Association for Statistical Education. https://doi.org/10.52041/iase.icots11.t10e3
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 35672
Fleischer, F. Y., Biehler, R., & Schulte, C. (2022). Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal, 21(2), Article 7. https://doi.org/10.52041/serj.v21i2.61
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 34716
Terhörst, P., Kolf, J. N., Huber, M., Kirchbuchner, F., Damer, N., Moreno, A. M., Fierrez, J., & Kuijper, A. (2022). A Comprehensive Study on Face Recognition Biases Beyond Demographics. IEEE Transactions on Technology and Society, 3(1), 16–30. https://doi.org/10.1109/TTS.2021.3111823
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 34710
Huber, M., Terhörst, P., Luu, A. T., Kirchbuchner, F., & Damer, N. (2022). Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition. 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022, 938–944. https://doi.org/10.1109/ICPR56361.2022.9956452
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 34709
Roig, D. O., Rathgeb, C., Drozdowski, P., Terhörst, P., Struc, V., & Busch, C. (2022). An Attack on Facial Soft-Biometric Privacy Enhancement. IEEE Trans. Biom. Behav. Identity Sci., 4(2), 263–275. https://doi.org/10.1109/TBIOM.2022.3172724
LibreCat
| DOI
2022 | Dissertation | LibreCat-ID: 34041
Witschen, L. M. (2022). Frameworks and Methodologies for Search-based Approximate Logic Synthesis. https://doi.org/10.17619/UNIPB/1-1649
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 37554
Asmar, L., Grigoryan, K., Kuhn, A., & Dumitrescu, R. (2022). Survey on methods for early prototyping and validation of technical product ideas. 2022 IEEE 20th International Conference on Industrial Informatics (INDIN). https://doi.org/10.1109/indin51773.2022.9976130
LibreCat
| DOI