Malicious Agent Detection for Robust Multi-Agent Collaborative Perception. (arXiv:2310.11901v1 [cs.CR])

Recently, multi-agent collaborative (MAC) perception has been proposed and
outperformed the traditional single-agent perception in many applications, such
as autonomous driving. However, MAC perception is more vulnerable to
adversarial attacks than single-agent perception due to the information
exchange. The attacker can easily degrade the performance of a victim agent by
sending harmful information from a malicious agent nearby. In this paper, we
extend adversarial attacks to an important perception task -- MAC object
detection, where generic defenses such as adversarial …

adversarial adversarial attacks agent applications attacker attacks autonomous autonomous driving detection driving exchange information mac malicious performance single victim vulnerable