Chaowei Xiao

Email: xiaocw [at] umich [dot] edu

I am Chaowei Xiao, a research scientist at NVIDIA Research. I received my PhD degree from University of Michigan, Ann Arbor under supervision of Professor Mingyan Liu . I obtained my bachelor's degree in School of Software from Tsinghua University in 2015. I was also a visiting student at UC Berkeley in 2018, advised by Professor Dawn Song and Professor Bo Li.

My research interest includes Trustworhty Machine Learning, Security & Privacy, IoT/CPS.

[Google Scholar] [CV]

Recent News

[3/2021]: One paper got the best paper award at EWSN 2021.

[3/2021]: One paper is accepted to S&P.

[11/2020]: One paper is accepted to NeurIPS’20 .

[06/2020]: One paper is accepted to ECCV’20 .

[12/2019]: One paper is accepted to ICLR’20 .

[08/2019]: Our generated physical adversarial Stop Sign used in our CVPR’18 is on display at Science Museum in London.

[07/2019]: One paper is accepted to ICDM 2019.

[07/2019]: Our paper "AdvIT: Adversarial Frames Identifier Based on Temporal Consistency In Videos" is accepted to ICCV 2019.

[06/2019]: Our paper: "Adversarial Objects Against LiDAR-Based Autonomous Driving Systems" is reported by Syncedreview, Selfdrivingcars360, Analytics and is discussed at Reddit [1], [2].

[05/2019]: One paper is accepted to CCS 2019.

[05/2019]: One paper is accepted to USENIX Security 2019.

[03/2019]: Our paper "MeshAdv: Adversarial Meshes for Visual Recognition" is accepted to CVPR 2019 as oral presentation.

[03/2019]: We will organize the workshop on Adversarial Machine Learning in Real-World Computer Vision Systems at CVPR 2019. Please submit your papers.

Selected Publications

(* represents equal contribution)