Adversarial Robustness Assessment: Why both $L_0$ and $L_\infty$ Attacks Are Necessary

By Shashank Kotyan, Danilo Vasconcellos Vargas. 2019

20 citations recorded by the source corpus.

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1. Shashank Kotyan
2. Danilo Vasconcellos Vargas

Citations in the corpus

• Evolving Robust Neural Architectures to Defend from Adversarial Attacks (2019, methodology): “• Robustness: Calculated using the adversarial samples created from the model-agnostic (black-box) L0 and L∞ attacks Kotyan and Vargas (2019).”