Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. (arXiv:2208.09195v1 [cs.CV])

DNN-based video object detection (VOD) powers autonomous driving and video
surveillance industries with rising importance and promising opportunities.
However, adversarial patch attack yields huge concern in live vision tasks
because of its practicality, feasibility, and powerful attack effectiveness.
This work proposes Themis, a software/hardware system to defend against
adversarial patches for real-time robust video object detection. We observe
that adversarial patches exhibit extremely localized superficial feature
importance in a small region with non-robust predictions, and thus propose the
adversarial region …

adversarial attacks detection object physical system video world