… of adversarial ML attacks on CAVs and outline a solution to defend against adversarialattacks in … 1) AdversarialAttacks: An adversarialattack affecting the training phase of the learning …
M Girdhar, J Hong, J Moore - IEEE Open Journal of Vehicular …, 2023 - ieeexplore.ieee.org
… autonomousvehicle (AV)-based applications is constrained by the DL models’ susceptibility to adversarialattacks … defense models into practice against adversarialattacks has grown in …
… The main objective of this research is to design black-box adversarialattacks for AV for exposing vulnerabilities in deep learning models. We propose a “multi-gradient” attack in deep …
J Lu, H Sibai, E Fabry, D Forsyth - arXiv preprint arXiv:1707.03501, 2017 - arxiv.org
… of a strong attack, the adversarial properties would not hold … correctly classified in the context of an autonomousvehicle. … This adversarialattack against the detector may seem a bit …
… safety of autonomousvehicles under adversarialattacks. In this … of adversarialattacks, perturbation attacks, and patch attacks, on the driving safety of vision-based autonomousvehicles …
Z Xiong, H Xu, W Li, Z Cai - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
… learning models to adversarial samples makes the autonomousvehicles suffer severe … adversarial samples, only a few of them are designated for the scenario of autonomousvehicles…
… system to check the vehicle state [40], [48]. First, we monitor model prediction latency caused by adversarialattacks. Second, since autonomousvehicles are resource constrained, we …
P Sharma, D Austin, H Liu - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
… Such instances clearly demonstrate that the Machine Learning is just another tool, susceptible to adversarialattacks which can have huge implications in a world where we trust them …
X Xu, J Zhang, Y Li, Y Wang, Y Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… -based adversarialattack against urban scene segmentation for autonomousvehicles. Notably, in the above works on attacking scene segmentation, the DeepLab [13] framework …