Skip to Main Content
Sign In

A Mimetic Theory of User Behaviors in Online Communities: A Computational Study of GitHub

Accessing the Design Science Knowledge Base - A Search Engine for the Accumulation of Knowledge Across Decentrally Organized Publication

Referenz

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.

Publication Type

Beitrag in Konferenztagungsband

Staff Members

Prof. Dr. Jan vom Brocke Dr. Michael Gau

Participating Institutions

Liechtenstein Business School Information Systems & Business Process Management

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

Referenz

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

Beitrag in Konferenztagungsband

Staff Members

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

Participating Institutions

Institut für Wirtschaftsinformatik Hilti Lehrstuhl für Daten- und Anwendungssicherheit

DOI

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

Concept-based Adversarial Attacks: Tricking Classifiers and Humans alike

Referenz

Schneider, J., & Apruzzese, G. (2022). Concept-based Adversarial Attacks: Tricking Classifiers and Humans alike. Paper presented at the IEEE Symposium on Security and Privacy: Deep Learning and Security Workshop (SP DLS).

Publication Type

Beitrag in Konferenztagungsband

Staff Members

Prof. Dr. Johannes Schneider Dr. Giovanni Apruzzese

Participating Institutions

Institut für Wirtschaftsinformatik Hilti Lehrstuhl für Business Process Management Hilti Lehrstuhl für Daten- und Anwendungssicherheit

The Role of Machine Learning in Cybersecurity

Referenz

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).

Publication Type

Beitrag in wissenschaftlicher Fachzeitschrift

Staff Members

Prof. Dr. Pavel Laskov Dr. Giovanni Apruzzese

Participating Institutions

Institut für Wirtschaftsinformatik Hilti Lehrstuhl für Daten- und Anwendungssicherheit Liechtenstein Business School Daten- und Anwendungssicherheit

DOI

https://dx.doi.org/doi.org/10.1145/3545574

The Cross-Evaluation of Machine Learning-based Network Intrusion Detection Systems

abonnieren