Adversarial Driving: Attacking End-To-End Driving

Adversarial Driving: Attacking End-to-End Driving

Adversarial Driving: Attacking End-to-End Autonomous Driving Systems

CAT: Closed-loop Adversarial Training for Safe End-to-End Driving (CoRL 2023)

Certifiable Robustness to adversarial Attacks; What is the Point? | Nick Frosst

Towards Data Science

USENIX Security '23 - Discovering Adversarial Driving Maneuvers against Autonomous Vehicles

NDSS 2022 Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against...

[SenSys 2021] Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving

Adversarial Attacks Against Scaled Autonomous Vehicle

FSD 13.2.1 Honest review - Uncut version of Freeway End2End - 3 speed profiles

USENIX Security '21 - Dirty Road Can Attack: Security of Deep Learning based Automated Lane

Practical adversarial attack agaisnt the object detector (YOLO V3)----real-road test(30km/h)

NDSS 2021 - AutoSec Demo #8: Security of Camera-based Perception for Autonomous Driving under Attack

[ML 2021 (English version)] Lecture 23: Adversarial Attack (1/2)

USENIX Security '21 - SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction

Adversarial attacks! Engineer images to fool/attack Neural Networks | Self driving cars get confused

NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Adversarial Robustness for Self-driving

Adversarial Attacks on Lane Detection in Autonomous Driving

Anonymous Authors

Milla Samuel - Adversarial Attacks on Autonomous Vehicles

NTU College of Computing and Data Science (CCDS)