AI RESEARCH

SDM: A Powerful Tool for Evaluating Model Robustness

arXiv CS.LG

ArXi:2605.20308v1 Announce Type: cross Gradient-based attacks are important methods for evaluating model robustness. However, since the proposal of APGD, it has been difficult for such methods to achieve significant breakthroughs. To achieve such an effect, we first analyze the issue of "high-loss non-adversarial examples" that degrades attack performance in previous methods, and prove that this issue arises from inappropriate objectives for adversarial example generation.