Demo #4: Attacking Tesla Model X’s Autopilot Using Compromised Advertisement

Ben Nassi (Ben-Gurion University of the Negev), Yisroel Mirsky (Ben-Gurion University of the Negev, Georgia Tech), Dudi Nassi, Raz Ben Netanel (Ben-Gurion University of the Negev), Oleg Drokin (Independent Researcher), and Yuval Elovici (Ben-Gurion University of the Negev)

Best Demo Award Winner ($300 cash prize)!

In this demo, we demonstrate how attackers can remotely apply split-second phantom attacks by embedding phantom road signs into an advertisement presented on an Internet connected digital billboard which causes Tesla’s autopilot to suddenly stop the car in the middle of a road.

Paper

View More Papers

Experimental Evaluation of a Binary-level Symbolic Analyzer for Spectre:...

Lesly-Ann Daniel (CEA List), Sébastien Bardin (CEA List, Université Paris-Saclay), Tamara Rezk (INRIA)

PHOENIX: Device-Centric Cellular Network Protocol Monitoring using Runtime Verification

Mitziu Echeverria (The University of Iowa), Zeeshan Ahmed (The University of Iowa), Bincheng Wang (The University of Iowa), M. Fareed Arif (The University of Iowa), Syed Rafiul Hussain (Pennsylvania State University), Omar Chowdhury (The University of Iowa)

Detecting DolphinAttacks Based on Microphone Array

Guoming Zhang, Xiaoyu Ji (Zhejiang University)

Safer Illinois and RokWall: Privacy Preserving University Health Apps...

Vikram Sharma Mailthody, James Wei, Nicholas Chen, Mohammad Behnia, Ruihao Yao, Qihao Wang, Vedant Agarwal, Churan He, Lijian Wang, Leihao Chen, Amit Agarwal, Edward Richter, Wen-mei Hwu, and Christopher Fletcher (University of Illinois at Urbana-Champaign); Jinjun Xiong (IBM); Andrew Miller and Sanjay Patel (University of Illinois at Urbana-Champaign)