Diversified Adversarial Attacks based on Conjugate Gradient Method. (arXiv:2206.09628v2 [cs.LG] UPDATED)

Deep learning models are vulnerable to adversarial examples, and adversarial
attacks used to generate such examples have attracted considerable research
interest. Although existing methods based on the steepest descent have achieved
high attack success rates, ill-conditioned problems occasionally reduce their
performance. To address this limitation, we utilize the conjugate gradient (CG)
method, which is effective for this type of problem, and propose a novel attack
algorithm inspired by the CG method, named the Auto Conjugate Gradient (ACG)
attack. The results …

adversarial attacks lg