most citedEvading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent

5 citations · 5 across the 2 of their papers we have counts for

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cs.LG2022

Neighboring State-based Exploration for Reinforcement Learning

Yu-Teng Li, Justin Lin, Jeffery Cheng +1

Reinforcement Learning is a powerful tool to model decision-making processes. However, it relies on an exploration-exploitation trade-off that remains an open challenge for many ta…

cs.LG2021★ 5 cited

Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent

Oliver Bryniarski, Nabeel Hingun, Pedro Pachuca +2

Evading adversarial example detection defenses requires finding adversarial examples that must simultaneously (a) be misclassified by the model and (b) be detected as non-adversari…