Publications
, “Explainability-Based Debugging of Machine Learning for Vulnerability Discovery”, in Proc. 17th International Conference on Availability, Reliability and Security, New York, NY, USA, 2022.
, “Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints”, in NeurIPS, 2021.
, “Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks”, in 28th Usenix Security Symposium, Santa Clara, California, USA, 2019, vol. 28th {USENIX} Security Symposium ({USENIX} Security 19), p. 321--338.
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(1.09 MB), “secml: A Python Library for Secure and Explainable Machine Learning”, SoftwareX, 2022.
