Writing about my research topics, artificial intelligence and software security.

All of my publications.

Limits of Machine Learning for Automatic Vulnerability Detection

Recent results of machine learning for automatic vulnerability detection have been very promising indeed: Given only the source code of a function f, models trained by machine learning techniques can decide if f contains a security flaw with up to 70% accuracy ...

How to compare adversarial robustness of classifiers from a global perspective

Adversarial robustness of machine learning models has attracted considerable attention over recent years. Adversarial attacks undermine the reliability of and trust in machine learning models, but the construction of more robust models hinges on a rigorous understanding ...