PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks

no code implementations • 4 Feb 2024 • Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues

Our paper offers a new approach to certify the performance of machine learning models in the presence of adversarial attacks with population level risk guarantees.

Adversarial Attack Bayesian Optimization