An Empirical Investigation of Randomized Defenses against Adversarial Attacks. - Yannik Potdevin; Dirk Nowotka; Vijay Ganesh 001 (CoRR, 2019)

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions. - Eike Petersen; Yannik Potdevin; Esfandiar Mohammadi; Stephan Zidowitz; Sabrina Breyer; Dirk Nowotka; Sandra Henn; Ludwig Pechmann; Martin Leucker; Philipp Rostalski; Christian Herzog 002 (CoRR, 2021)

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions. - Eike Petersen; Yannik Potdevin; Esfandiar Mohammadi; Stephan Zidowitz; Sabrina Breyer; Dirk Nowotka; Sandra Henn; Ludwig Pechmann; Martin Leucker; Philipp Rostalski; Christian Herzog 002 (IEEE Access, 2022)

CRISP-PCCP - A Development Methodology Supporting FDA Approval for Machine Learning Enabled Medical Devices. - Ludwig Pechmann; Yannik Potdevin; Kai Brehmer; Dirk Nowotka; Martin Leucker (AISoLA (Selected Papers), 2023)