Li Ang Zhang

Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models

2022 · arXiv (Cornell University)

Adversarial patches are images designed to fool otherwise well-performing neural network-based computer vision models. Although these attacks were initially conceived of and studied digitally, in that the raw pixel values of the image were perturbed, …