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CARBEN: Composite Adversarial Robustness Benchmark
[article]
2022
arXiv
pre-print
Prior literature on adversarial attack methods has mainly focused on attacking with and defending against a single threat model, e.g., perturbations bounded in Lp ball. However, multiple threat models can be combined into composite perturbations. One such approach, composite adversarial attack (CAA), not only expands the perturbable space of the image, but also may be overlooked by current modes of robustness evaluation. This paper demonstrates how CAA's attack order affects the resulting
arXiv:2207.07797v1
fatcat:tcbbkumj6zeeli6hwkyqdq5pda