… In this survey, we analyzed previously conducted attack and defense … investigation of
autonomous vehicles. We classified … areas of attack and defense against autonomous vehicles. …

… of attack models and defense strategies. There are a wide variety of attack models on CAVs,
… We present in chronological order the attack models and defense strategies for each CAV …

… of the autonomous vehicle (AV)-based applications is constrained by the DL models’
susceptibility to adversarial attacks … defensive and attack models developed in the domain of AD. …

… As a defense against the spoofing attack, we propose and implement two spoofing attack
mitigation strategies, including the challenge-response authentication and the RF …

… This paper surveyed the adversarial attacks, defenses, and the related research works in
the fields of object detection and autonomous vehicles. Despite the high precision of the DNNs …

… It is essential to provide tools necessary for detecting, classifying, and defending from
various types of attacks. A variety of taxonomies aim at classifying vulnerabilities or …

… be used as a defense mechanism for adversarial attacks. These … to the perception model of
the autonomous vehicle, the effect of … the ability of defense methods in mitigating attacks from …

… Such articles have focused on the classification of attacks, attack features, impacts of attacks,
cyber-risk, defense strategies against attacks, and safety standards. CAVs perform different …

… Autonomous driving is an area that has tremendously developed in parallel with the advancement
of machine learning. In autonomous vehicles… called adversarial attacks, which limit the …

… Method or MIM attack, and Carlini and Wagner or C&W). We find that our hybrid defense
method achieves 99% average traffic sign classification accuracy for the no attack scenario and …