Chengyi Li

MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation

Static malware detectors based on machine learning are integral to contemporary antivirus systems, but they are vulnerable to adversarial attacks. While existing research has demonstrated success with adversarial attacks in black-box hard-label scenarios, challenges such as high perturbation rates a