Countering Adversarial Attacks on Autonomous Vehicles Using Denoising Techniques: A Review

Author:

Kloukiniotis A.1ORCID,Papandreou A.1ORCID,Lalos A.1ORCID,Kapsalas P.2,Nguyen D.-V.2ORCID,Moustakas K.1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Patras (University Campus), Rio, Greece

2. ADAS AD, Panasonic Automotive, Langen, Germany

Funder

CARAMEL

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Reference136 articles.

1. Carla: An open urban driving simulator;dosovitskiy;arXiv 1711 03938,2017

2. Adversarial Attacks and Defenses in Deep Learning

3. BadNets: Evaluating Backdooring Attacks on Deep Neural Networks

4. Adversarial objects against lidar-based autonomous driving systems;cao;arXiv 1907 05418,2019

5. Generating 3D adversarial point clouds;xiang;arXiv 1809 07016,2018

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