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Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions


Jan 28, 2022
Jiachen Sun, Qingzhao Zhang, Bhavya Kailkhura, Zhiding Yu, Chaowei Xiao, Z. Morley Mao

* Codebase and dataset are included in https://github.com/jiachens/ModelNet40-C 

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On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles


Jan 13, 2022
Qingzhao Zhang, Shengtuo Hu, Jiachen Sun, Qi Alfred Chen, Z. Morley Mao

* 11 pages, 11 figures 

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Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines


Dec 01, 2021
Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao

* 21 pages, 15 figures, and 9 tables 

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Adversarial Unlearning of Backdoors via Implicit Hypergradient


Oct 14, 2021
Yi Zeng, Si Chen, Won Park, Z. Morley Mao, Ming Jin, Ruoxi Jia

* 9 pages main text, 3 pages references, 12 pages appendix, 5 figures 

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Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models


Sep 13, 2021
Won Park, Nan Liu, Qi Alfred Chen, Z. Morley Mao

* 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 484-488 

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Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective


Apr 09, 2021
Yi Zeng, Won Park, Z. Morley Mao, Ruoxi Jia


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On the Adversarial Robustness of 3D Point Cloud Classification


Nov 24, 2020
Jiachen Sun, Karl Koenig, Yulong Cao, Qi Alfred Chen, Z. Morley Mao

* 22 pages 

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Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures


Jun 30, 2020
Jiachen Sun, Yulong Cao, Qi Alfred Chen, Z. Morley Mao

* 18 pages, 27 figures, to be published in USENIX Security 2020 

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Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving


Aug 20, 2019
Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, Z. Morley Mao

* Accepted at the ACM Conference on Computer and Communications Security (CCS), 2019 

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