Langevin sampling

MEFA framework enables memory-efficient full-gradient attacks for robust defense evaluation

Researchers have developed a new framework called MEFA (Memory Efficient Full-gradient Attacks) to improve the evaluation of adversarial defenses against machine learning models. This framework utilizes gradient checkpo…