Ndss 2022 Fooling The Eyes Of Autonomous Vehicles: Robust Physical Adversarial Examples Against...

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

NDSS 2022 AutoSec - WIP: On Robustness of Lane Detection Models to Physical-World Adversarial Att...

VehicleSec 2023 - Certifiably Robust Perception Against Adversarial Patch Attacks: A Survey

NDSS 2022 AutoSec Demo #15: Remote Adversarial Attack on Automated Lane Centering

NDSS 2022 AutoSec Demo #4: Recovering Autonomous Robotic Vehicles from Physical Attacks

ShapeShifter: Adversarial Attack on Deep Learning Object Detector (Faster R-CNN)

Polo Club of Data Science

NDSS 2022 AutoSec Demo #3: I Am Not Afraid of the GPS Jammer: Exploiting Cellular Signals for Acc...

NDSS 2021 - AutoSec Demo #6: Impact of Stealthy Attacks on Autonomous Robotic Vehicle Missions

17 Chia Yi You - Adversarial Attacks on Autonomous Vehicles

NTU College of Computing and Data Science (CCDS)

NDSS 2022 AutoSec - Detecting CAN Masquerade Attacks with Signal Clustering Similarity

NDSS 2022 AutoSec - PASS: A System-Driven Evaluation Platform for Autonomous Driving Safety and...

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

NDSS 2022 AutoSec - Physical Layer Data Manipulation Attacks on the CAN Bus

NDSS 2022 Session 4C-3 Q&A

Milla Samuel - Adversarial Attacks on Autonomous Vehicles

NTU College of Computing and Data Science (CCDS)

NDSS 2022 AutoSec - Drivers and Passengers Maybe the Weakest Link in the CAV Data Privacy Defenses

NDSS 2022 AutoSec - WIP: Interrupt Attack on TEE-protected Robotic Vehicles

USENIX Security '20 - SAVIOR: Securing Autonomous Vehicles with Robust Physical Invariants