DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples 事件

DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples arXiv:2508.13309v4 Announce Type: replace Abstract: Numerous techniques have been proposed for generating adversarial examples in white-box settings under strict Lp-norm constraints. However, such norm-bounded examples often fail to align well with human perception, and only a few methods specifically explore perceptually aligned adversarial examples. Moreover, it remains unclear whether insights from Lp-