Search Results for author: Nabeel Hingun

Found 2 papers, 2 papers with code

REAP: A Large-Scale Realistic Adversarial Patch Benchmark

1 code implementation ICCV 2023 Nabeel Hingun, Chawin Sitawarin, Jerry Li, David Wagner

In this work, we propose the REAP (REalistic Adversarial Patch) benchmark, a digital benchmark that allows the user to evaluate patch attacks on real images, and under real-world conditions.

Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent

1 code implementation ICLR 2022 Oliver Bryniarski, Nabeel Hingun, Pedro Pachuca, Vincent Wang, Nicholas Carlini

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

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