I am a fourth-year Ph.D student at School of Computer Science & Engineering, Nanyang Technological University. Currently I am working closely with Prof. Bihan Wen. Prior to that, I obtained my Becholer degree from Wuhan University and worked with Prof. Hong Huang in 2018.
My current research interests lie in Adversarial Machine Learning, Image Forensics, Security and Privacy.
Please feel free to contact me for potential internships and collaborations!
* Corresponding author
Generating Adversarial yet Inconspicuous Patches with a Single Image (student abstract)
Jinqi Luo, Tao Bai*, and Jun Zhao
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18):15837-38.
[PDF]
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, and Qian Wang
In Proceedings of the 30th IJCAI 2021 Survey Track.
[PDF] [Poster]
AI-GAN: Attack-Inspired Generation of Adversarial Examples
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, and Alex Kot
IEEE International Conference on Image Processing 2021.
[PDF] [Poster]
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, and Alex Kot
IEEE Internet of Things Journal.
[PDF]
Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices
Tao Bai, Jinqi Luo and Jun Zhao
IEEE Internet of Things Journal.
[PDF]
Last updated Oct. 2021