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On the Resilience of Machine Learning-Based IDS for Automotive Networks

On the Resilience of Machine Learning-Based IDS for Automotive Networks

Ivo Zenden
Han Wang
Alfonso Iacovazzi
A. Vahidi
R. Blom
S. Raza
    AAML
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Papers citing "On the Resilience of Machine Learning-Based IDS for Automotive Networks"

3 / 3 papers shown
Title
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
Francesco Marchiori
Mauro Conti
AAML
24
0
0
06 Apr 2024
An Adversarial Attack Defending System for Securing In-Vehicle Networks
An Adversarial Attack Defending System for Securing In-Vehicle Networks
Yi Li
Jing Lin
Kaiqi Xiong
AAML
33
14
0
25 Aug 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,849
0
08 Jul 2016