all AI news
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow. (arXiv:2310.17403v2 [cs.CV] UPDATED)
cs.LG updates on arXiv.org arxiv.org
Adversarial patches undermine the reliability of optical flow predictions
when placed in arbitrary scene locations. Therefore, they pose a realistic
threat to real-world motion detection and its downstream applications.
Potential remedies are defense strategies that detect and remove adversarial
patches, but their influence on the underlying motion prediction has not been
investigated. In this paper, we thoroughly examine the currently available
detect-and-remove defenses ILP and LGS for a wide selection of state-of-the-art
optical flow methods, and illuminate their side effects …
adversarial applications arxiv attacks defense detection flow influence locations optical optical flow predictions reliability strategies threat undermine world