On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures

1 code implementation • 22 Sep 2023 • Qingzhao Zhang, Shuowei Jin, Ruiyang Zhu, Jiachen Sun, Xumiao Zhang, Qi Alfred Chen, Z. Morley Mao

To understand the impact of the vulnerability, we break the ground by proposing various real-time data fabrication attacks in which the attacker delivers crafted malicious data to victims in order to perturb their perception results, leading to hard brakes or increased collision risks.

Anomaly Detection Autonomous Vehicles