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

6 April 2024

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

8 / 8 papers shown

Title
FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids Emad Efatinasab Francesco Marchiori Alessandro Brighente M. Rampazzo Mauro Conti AAML 68 3 0 26 Mar 2024
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability Marco Alecci Mauro Conti Francesco Marchiori L. Martinelli Luca Pajola AAML 51 7 0 27 Jun 2023
On the Resilience of Machine Learning-Based IDS for Automotive Networks Ivo Zenden Han Wang Alfonso Iacovazzi A. Vahidi R. Blom S. Raza AAML 45 6 0 26 Jun 2023
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 118 489 0 02 Feb 2021
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 154 1,493 0 10 Jan 2019
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,725 0 19 May 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 540 5,897 0 08 Jul 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,049 0 20 Dec 2014