Mars Rayno (Colorado State University) and Jeremy Daily (Colorado State University)

CAN bus traces from repeated dynamic events often do not align. Dynamic Time Warping (DTW) is a tool used to efficiently align traces by time. For this demo, multiple CAN bus traces were taken from the same vehicle performing the same maneuvers. By using DTW, the similarity of the traces was able to be quantified. Specifically, CAN bus traces were compared from a heavy truck performing the same test sequence. DTW distance score showed 661 compared to the direct Euclidean distance score of 24032; this shows that utilizing DTW can accommodate differences in time during comparison of CAN traces. DTW techniques help improve pattern matching for similar driving behaviors.

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Cross-Language Attacks

Samuel Mergendahl (MIT Lincoln Laboratory), Nathan Burow (MIT Lincoln Laboratory), Hamed Okhravi (MIT Lincoln Laboratory)

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(Short) WIP: Deployability Improvement, Stealthiness User Study, and Safety...

Takami Sato, Junjie Shen, Ningfei Wang (UC Irvine), Yunhan Jia (ByteDance), Xue Lin (Northeastern University), and Qi Alfred Chen (UC Irvine)

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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)!

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NC-Max: Breaking the Security-Performance Tradeoff in Nakamoto Consensus

Ren Zhang (Nervos), Dingwei Zhang (Nervos), Quake Wang (Nervos), Shichen Wu (School of Cyber Science and Technology, Shandong University), Jan Xie (Nervos), Bart Preneel (imec-COSIC, KU Leuven)

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