arXiv:2307.08278cs.CV
Adversarial Attacks on Traffic Sign Recognition: A Survey
Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.
Abstract
Traffic sign recognition is an essential component of perception in autonomous vehicles, which is currently performed almost exclusively with deep neural networks (DNNs). However, DNNs are known to be vulnerable to adversarial attacks. Several previous works have demonstrated the feasibility of adversarial attacks on traffic sign recognition models. Traffic signs are particularly promising for adversarial attack research due to the ease of performing real-world attacks using printed signs or stickers. In this work, we survey existing works performing either digital or real-world attacks on traffic sign detection and classification models. We provide an overview of the latest advancements and highlight the existing research areas that require further investigation.
There were some attacks based on modifying road signs: https://arxiv.org/abs/2307.08278 . At the very least Cars can be tricked into going over local speed limit. I wonder if fake one way street signs would have priority over build in maps.
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