The Space of Adversarial Strategies

@article{Sheatsley2022TheSO,
  title={The Space of Adversarial Strategies},
  author={Ryan Sheatsley and Blaine Hoak and Eric Pauley and Patrick Mcdaniel},
  journal={ArXiv},
  year={2022},
  volume={abs/2209.04521}
}
Adversarial examples , inputs designed to induce worst-case behavior in machine learning models, have been extensively studied over the past decade. Yet, our understanding of this phenomenon stems from a rather fragmented pool of knowledge; at present, there are a handful of attacks, each with disparate assumptions in threat models and incomparable def-initions of optimality. In this paper, we propose a systematic approach to characterize worst-case (i.e., optimal) adversaries. We first… 

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