DCRat

Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations

A new research paper proposes a bilevel optimization framework to counter adaptive malware attacks against machine learning detectors. This approach models the co-evolutionary process between attackers and defenders, ai…