3 papers
cs.IT2026
Universal Outlier Hypothesis Testing via Mean- and Median-Based Tests
Bernhard C. Geiger, Tobias Koch, Josipa MihaljeviÄ +1
Universal outlier hypothesis testing refers to a hypothesis testing problem where one observes a large number of length- sequences -- the majority of which are distributed accor…
cs.LG2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges
Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler +13
Artificial intelligence (AI) technologies (re-)shape modern life, driving innovation in a wide range of sectors. However, some AI systems have yielded unexpected or undesirable out…
cs.LG2024
Constraining Anomaly Detection with Anomaly-Free Regions
Maximilian Toller, Hussain Hussain, Roman Kern +1
We propose the novel concept of anomaly-free regions (AFR) to improve anomaly detection. An AFR is a region in the data space for which it is known that there are no anomalies insi…