… effect of attack. • Third, we are the first to consider both poisoning attack and evasion attack
against … Our two attacks are universally applicable to all deep learning algorithms or machine …

… Therefore, this article intends to cover physical black-box evasion attacks experimented in
both … The limitations of current defenses against adversarial evasion and poisoning attacks are …

… In this paper, we propose a novel backdoor attack for poisoning trajectory data. To the best
… Poisoning and evasion attacks against deep learning algorithms in autonomous vehicles. …

… On the other hand, evasion attacks try to trick an already trained model into making … poisoning
attacks. There are multiple ways to manipulate the target model using a poisoning attack, …

… typical attacks and defense methods in autonomous vehicles. … poisoning attacks and defenses
in autonomous vehicles to … with evasion attacks [31], [32], data poisoning attacks happen …

… autonomous cars and the countermeasures that are related to them; We analyze all potential
attack vectors on autonomous vehicles, … , such as evasion or poisoning attacks, hackers can …

… affecting the training phase of the learning process is termed as poisoning attack where an
… to perform an evasion attack on ML-based sign recognition system of autonomous vehicles. …

… These scenarios include autonomous vehicles, fraudster detection, dialog systems and
copyright detection. These illustrations can stress the importance of adversarial …

… attacks, which include evasion attacks and poisoning attack [6]… Evasion attacks happen
in the prediction phase by adding … , while poisoning attacks aim to sabotage the model by …

… types of adversarial attacks: evasion and poisoning attacks. In evasion attacks, the attacker
tampers test data to have them misclassified. As a result, the evasion attack on the machine …