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An adversarial attack framework targeting the Multiple Object Tracking (MOT) pipeline in autonomous driving by exploiting temporal consistency to disrupt object trajectories.
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This project represents a pioneering academic contribution as the first adversarial attack specifically targeting the temporal logic of MOT rather than just static object detection. However, with 0 stars and being over 6 years old, it exists primarily as a historical research reference. Its defensibility is low because the field has evolved significantly, and it lacks an active ecosystem or productized implementation.
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