A near-infrared POV-based physical attack achieves high success rates fooling traffic sign classifiers across 12 models, distances to 20m, and varying conditions.
Dynamic adversarial at- tacks on autonomous driving systems.arXiv preprint arXiv:2312.06701, 2023
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Derail adversarial perturbations hijack the scoring head in generative E2E driving planners, flipping safe to unsafe trajectory selection with 39-80% score drops and up to 50% collision rates.
citing papers explorer
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The Spectrum Strikes Back: Infrared POV Attacks on Traffic Sign Classification
A near-infrared POV-based physical attack achieves high success rates fooling traffic sign classifiers across 12 models, distances to 20m, and varying conditions.
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Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations
Derail adversarial perturbations hijack the scoring head in generative E2E driving planners, flipping safe to unsafe trajectory selection with 39-80% score drops and up to 50% collision rates.