62 citations · 242 across the 29 of their papers we have counts for
3 papers · 1 filter
Towards Resilient Artificial Intelligence: Survey and Research Issues
Oliver Eigner, Sebastian Eresheim, Peter Kieseberg +6
Artificial intelligence (AI) systems are becoming critical components of today's IT landscapes. Their resilience against attacks and other environmental influences needs to be ensu…
-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers
Djordje Slijepčević, Maximilian Henzl, Lukas Daniel Klausner +3
The protection of private information is a crucial issue in data-driven research and business contexts. Typically, techniques like anonymisation or (selective) deletion are introdu…
Anomaly Detection Support Using Process Classification
Sebastian Eresheim, Lukas Daniel Klausner, Patrick Kochberger
Anomaly detection systems need to consider a lot of information when scanning for anomalies. One example is the context of the process in which an anomaly might occur, because anom…