Yi Zhu (State University of New York at Buffalo), Chenglin Miao (University of Georgia), Foad Hajiaghajani (State University of New York at Buffalo), Mengdi Huai (University of Virginia), Lu Su (Purdue University) and Chunming Qiao (State University of New York at Buffalo)

As a fundamental task in autonomous driving, LiDAR semantic segmentation aims to provide semantic understanding of the driving environment. We demonstrate that existing LiDAR semantic segmentation models in autonomous driving systems can be easily fooled by placing some simple objects on the road, such as cardboard and traffic signs. We show that this type of attack can hide a vehicle and change the road surface to road-side vegetation.

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EqualNet: A Secure and Practical Defense for Long-term Network...

Jinwoo Kim (KAIST), Eduard Marin (Telefonica Research (Spain)), Mauro Conti (University of Padua), Seungwon Shin (KAIST)

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GPSKey: GPS based Secret Key Establishment for Intra-Vehicle Environment

Edwin Yang (University of Oklahoma) and Song Fang (University of Oklahoma)

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Fuzzing: A Tale of Two Cultures

Andreas Zeller (CISPA Helmholtz Center for Information Security)

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