Mohammed Lamine Bouchouia (Telecom Paris - Institut Polytechnique de Paris), Jean-Philippe Monteuuis (Qualcomm Technologies Inc), Houda Labiod (Telecom Paris - Institut Polytechnique de Paris), Ons Jelassi (Telecom Paris - Institut Polytechnique de Paris), Wafa Ben Jaballah (Thales) and Jonathan Petit (Qualcomm Technologies Inc)

Ensuring the safety of connected and automated vehicles (CAV) is critical for their public adoption. However, security attacks targeting CAVS are a significant deterrent to achieving public trust in AVs. Implementing and testing those attacks and corresponding countermeasures in real road conditions are costly and time-consuming tasks. Thus, an automotive simulator prevents those drawbacks. Therefore, we provide our security simulator for CAVs, which include both V2X and sensors’ data synchronized in simulation time.

View More Papers

Model-Agnostic Defense for Lane Detection against Adversarial Attack

Henry Xu, An Ju, and David Wagner (UC Berkeley) Baidu Security Auto-Driving Security Award Winner ($1000 cash prize)!

Read More

Forensic Analysis of Configuration-based Attacks

Muhammad Adil Inam (University of Illinois at Urbana-Champaign), Wajih Ul Hassan (University of Illinois at Urbana-Champaign), Ali Ahad (University of Virginia), Adam Bates (University of Illinois at Urbana-Champaign), Rashid Tahir (University of Prince Mugrin), Tianyin Xu (University of Illinois at Urbana-Champaign), Fareed Zaffar (LUMS)

Read More

(Short) Fooling Perception via Location: A Case of Region-of-Interest...

Kanglan Tang, Junjie Shen, and Qi Alfred Chen (UC Irvine)

Read More

D-Box: DMA-enabled Compartmentalization for Embedded Applications

Alejandro Mera (Northeastern University), Yi Hui Chen (Northeastern University), Ruimin Sun (Northeastern University), Engin Kirda (Northeastern University), Long Lu (Northeastern University)

Read More