A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models. - Maximilian Wendlinger; Kilian Tscharke; Pascal Debus (QCE, 2024)

Quantum Autoencoder for Multivariate Time Series Anomaly Detection. - Kilian Tscharke; Maximilian Wendlinger; Afrae Ahouzi; Pallavi Bhardwaj; Kaweh Amoi-Taleghani; Michael Schrödl-Baumann; Pascal Debus (CoRR, 2025)

Quantum Support Vector Regression for Robust Anomaly Detection. - Kilian Tscharke; Maximilian Wendlinger; Sebastian Issel; Pascal Debus (CoRR, 2025)

Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security. - Pascal Debus; Maximilian Wendlinger; Kilian Tscharke; Daniel Herr; Cedric Brügmann; Daniel Ohl de Mello; Juris Ulmanis; Alexander Erhard; Arthur Schmidt; Fabian Petsch (CoRR, 2025)

Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning. - Maximilian Wendlinger; Kilian Tscharke; Pascal Debus (CoRR, 2025)