Benedikt Böing

Quality Guarantees for Autoencoders via Unsupervised Adversarial Attacks

D. Neider, Rajarshi Roy, Benedikt Böing, 2020, ECML/PKDD.

Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection

Benedikt Böing, 2022 .

Interpretable Anomaly Detection via Discrete Optimization

Falk Howar, Emmanuel Müller, D. Neider, 2023, ArXiv.

On Training and Verifying Robust Autoencoders

Benedikt Böing, Emmanuel Müller, 2022, 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA).