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17238 Publications
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
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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: 53367
Herbert, F., Becker, S., Buckmann, A., Kowalewski, M., Hielscher, J., Acar, Y., Dürmuth, M., Zou, Y., & Sasse, M. A. (2022). Digital Security–A Question of Perspective. A Large-Scale Telephone Survey with Four At-Risk User Groups. ArXiv Preprint ArXiv:2212.12964.
LibreCat
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
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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
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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 | Book Chapter | LibreCat-ID: 42390
Fuchs, C. (2022). H παρακολούθηση των Κοινωνικών Μέσων. In Y. Theoharis & A. Kaniadakis (Eds.), Η νέα ψηφιακή παρακολούθηση. Κείμενα προς τιμήν του Μηνά Σαματά (in Greek, The New Digital Surveillance: A Volume in Honour of Minas Samatas), (pp. 149–171). Papazisis Publishers.
LibreCat
2022 | Book Chapter | LibreCat-ID: 41793
Fuchs, C. (2022). Social Media, Alienation, and the Public Sphere. In D. Rosen (Ed.), The Social Media Debate: Unpacking the Social, Psychological, and Cultural Effects of Social Media (pp. 53–76). Routledge.
LibreCat
2022 | Journal Article | LibreCat-ID: 41798
Fuchs C. (2022). 大数据、社交媒体和数字异化. 国际社会科学杂志 (Journal of International Social Sciences) 2022 (5), 31–42.
LibreCat
2022 | Book Chapter | LibreCat-ID: 30285
Fuchs, C. (2022). Social Media, Alienation, and the Public Sphere. In D. Rosen (Ed.), The Social Media Debate: Unpacking the Social, Psychological, and Cultural Effects of Social Media (pp. 53–76). Routledge.
LibreCat
2022 | Journal Article | LibreCat-ID: 41546
Fuchs C. (2022). 交往资本主义：迈向马克思主义交往理论的批判. 国际社会科学杂志 (Journal of International Social Sciences), 4, 47–62.
LibreCat
2022 | Journal Article | LibreCat-ID: 41590
Fuchs C. (2022). 社交媒体中的数字产消劳动：基于资本主义时间范畴的研究. 国际社会科学杂志 (Journal of International Social Sciences) 2022 (4), 28–46.
LibreCat
2022 | Book | LibreCat-ID: 37193
Fuchs, C. (2022). Foundations of Critical Theory. Media, Communication and Society Volume Two. Routledge.
LibreCat
2022 | Journal Article | LibreCat-ID: 54708
Rohlfing, K. J., Vollmer, A.-L., Fritsch, J., & Wrede, B. (2022). Which “motionese” parameters change with children’s age? Disentangling attention-getting from action-structuring modifications. Frontiers in Communication, 7. https://doi.org/10.3389/fcomm.2022.922405
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 54709
Hindemith, L., Bruns, O., Noller, A. M., Hemion, N., Schneider, S., & Vollmer, A.-L. (2022). Interactive Robot Task Learning: Human Teaching Proficiency With Different Feedback Approaches. IEEE Transactions on Cognitive and Developmental Systems, 15(4), 1938–1947. https://doi.org/10.1109/tcds.2022.3186270
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 50024
Feng, Y., Gries, T., Letmathe, S., & Schulz, D. (2022). The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series. The R Journal, 14(1), 182–195. https://doi.org/10.32614/rj-2022-017
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