Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy. - Jan-Philipp Schulze; Artur Mrowca; Elizabeth Ren; Hans-Andrea Loeliger; Konstantin Böttinger (KDD, 2019)

Activation Anomaly Analysis. - Philip Sperl; Jan-Philipp Schulze; Konstantin Böttinger (ECML/PKDD (2), 2020)

A3: Activation Anomaly Analysis. - Philip Sperl; Jan-Philipp Schulze; Konstantin Böttinger (CoRR, 2020)

DA3G: Detecting Adversarial Attacks by Analysing Gradients. - Jan-Philipp Schulze; Philip Sperl; Konstantin Böttinger (ESORICS (1), 2021)

Assessing the Impact of Transformations on Physical Adversarial Attacks. - Paul Andrei Sava; Jan-Philipp Schulze; Philip Sperl; Konstantin Böttinger (AISec@CCS, 2022)

Anomaly Detection by Recombining Gated Unsupervised Experts. - Jan-Philipp Schulze; Philip Sperl; Konstantin Böttinger (IJCNN, 2022)

Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators. - Jan-Philipp Schulze; Philip Sperl; Konstantin Böttinger (IJCNN, 2022)

R2-AD2: Detecting Anomalies by Analysing the Raw Gradient. - Jan-Philipp Schulze; Philip Sperl; Ana Radutoiu; Carla Sagebiel; Konstantin Böttinger (ECML/PKDD (1), 2022)

An Integrated Algorithm for Robust and Imperceptible Audio Adversarial Examples. - Armin Ettenhofer; Jan-Philipp Schulze; Karla Pizzi (CoRR, 2023)

Physical Adversarial Examples for Multi-Camera Systems. - Ana Radutoiu; Jan-Philipp Schulze; Philip Sperl; Konstantin Böttinger (CoRR, 2023)