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Grisold, T., Gau, M., & Yoo, Y. (2023). A Mimetic Theory of User Behaviors in Online Communities: A Computational Study of GitHub. Presented at the 83nd Annual Meeting of the Academy of Management, Boston, Massachusetts, USA.
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Gau, M., Maedche, A., & vom Brocke, J. (2023). Accessing the Design Science Knowledge Base - A Search Engine for the Accumulation of Knowledge Across Decentrally Organized Publication. Paper presented at the 18th International Conference on Design Science Research in Information Systems and Technology, South Africa.
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Liability for Climate Change: Cases, Challenges & Concepts, JETL 176 (mit Spitzer)

S-Curves in Platform-based Business - Facing the Challenge of the Tipping Point

Innovation efficiency and firm growth: Methodological and empirical findings on firms

Understanding the Skil Gap in Cybersecurity

SoK: The Impact of Unlabelled Data for Cyberthreat Detection

Reference

Apruzzese, G., Tastemirova, A., & Laskov, P. (2022). SoK: The Impact of Unlabelled Data for Cyberthreat Detection. Paper presented at the IEEE European Symposium on Security and Privacy (EuroSP).

Publication Type

Paper in Conference Proceedings

Staff Members

Prof. Dr. Pavel Laskov Aliya Tastemirova Dr. Giovanni Apruzzese

Participating Institutions

Institute of Information Systems Hilti Chair for Data and Application Security

DOI

https://dx.doi.org/10.1109/eurosp53844.2022.00010

Concept-based Adversarial Attacks: Tricking Classifiers and Humans alike

Apruzzese, G., Laskov, P., Montes de Oca, E., Mallouli, W., Burdalo Rapa, L., Grammatopoulos, A. V., & Di Franco, F. (2023). The Role of Machine Learning in Cybersecurity. ACM Digital Threats: Research and Practice, 4(1).
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The Cross-Evaluation of Machine Learning-based Network Intrusion Detection Systems

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