Contributor-Aware Defenses Against Adversarial Backdoor Attacks. (arXiv:2206.03583v1 [cs.CR])

Deep neural networks for image classification are well-known to be vulnerable
to adversarial attacks. One such attack that has garnered recent attention is
the adversarial backdoor attack, which has demonstrated the capability to
perform targeted misclassification of specific examples. In particular,
backdoor attacks attempt to force a model to learn spurious relations between
backdoor trigger patterns and false labels. In response to this threat,
numerous defensive measures have been proposed; however, defenses against
backdoor attacks focus on backdoor pattern detection, …

adversarial attacks backdoor