Adversarial examples and where to find them. - Niklas Risse; Christina Göpfert; Jan Philip Göpfert (CoRR, 2020)

How to Compare Adversarial Robustness of Classifiers from a Global Perspective. - Niklas Risse; Christina Göpfert; Jan Philip Göpfert (ICANN (1), 2021)

Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery. - Erik Imgrund; Tom Ganz; Martin Härterich; Lukas Pirch; Niklas Risse; Konrad Rieck (AISec@CCS, 2023)

Detecting Overfitting of Machine Learning Techniques for Automatic Vulnerability Detection. - Niklas Risse (ESEC/SIGSOFT FSE, 2023)

Limits of Machine Learning for Automatic Vulnerability Detection. - Niklas Risse; Marcel Böhme (CoRR, 2023)

Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection. - Niklas Risse; Marcel Böhme (USENIX Security Symposium, 2024)

Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection. - Niklas Risse; Marcel Böhme (CoRR, 2024)

Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection. - Niklas Risse; Jing Liu; Marcel Böhme (Proc. ACM Softw. Eng., 2025)