CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems

Author:

Marchiori Francesco1ORCID,Conti Mauro2ORCID

Affiliation:

1. University of Padova, Padua, Italy

2. University of Padova & Delft University of Technology, Padua, Italy

Publisher

ACM

Reference26 articles.

1. Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability

2. An intrusion detection system for connected vehicles in smart cities

3. Aneetha Avalappampatty Sivasamy, Bose Sundan, et al. 2015. A dynamic intrusion detection system based on multivariate Hotelling's T 2 statistics approach for network environments. The Scientific World Journal , Vol. 2015 (2015).

4. Md Ahsan Ayub, William A Johnson, Douglas A Talbert, and Ambareen Siraj. 2020. Model evasion attack on intrusion detection systems using adversarial machine learning. In 2020 54th annual conference on information sciences and systems (CISS). IEEE, 1--6.

5. Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, and Qian Wang. 2021. Recent advances in adversarial training for adversarial robustness. arXiv preprint arXiv:2102.01356 (2021).

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