Tao Bai

About Me

I am working closely with Prof. Bihan Wen as a research fellow at EEE,Nanyang Technological University. Prior to that, I obtained my Ph.D. degree from Nanyang Technological University in 2022. My current research interests lie in Adversarial Machine Learning, Security and Privacy and Remote Sensing.

I am actively looking for both academic and industrial positions. Please reach out if you have an open opportunity!

Publications

* 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]

Preprints

• Tao Bai, Jun Zhao, Lanqing Guo, and Bihan Wen. Adversarial Purification through Representation Disentanglement. [PDF]
• Tao Bai, Jinnan Chen, Jun Zhao, Bihan Wen, Xudong Jiang, and Alex Kot. Feature Distillation With Guided Adversarial Contrastive Learning. arXiv preprint arXiv:2009.09922 (2020). (In submission) [PDF]
• Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Zhiying Xu, Shuyu Shi, Xuebin Ren, Xinyu Yang, Yang Liu, and Han Yu. Reviewing and Improving the Gaussian Mechanism for Differential Privacy. arXiv preprint arXiv:1911.12060, 2019 (In submission). [PDF]
• Lin Sun, Jun Zhao, Xiaojun Ye, Shuo Feng, Teng Wang, and Tao Bai. Conditional analysis for key-value data with local differential privacy. arXiv preprint arXiv:1907.05014 (2019). [PDF]

Industrial Experience

• Huawei 2012 laboratories, Singapore Jun. 2021 - Dec. 2021
  Mentor: Dr. Lin Hsiao Ying and Dr. Fang Chengfang
  Topic: Adversarial Attacks, Object Detection

Professional Service

Conference Reviewer

• The 29th International Joint Conference on Artificial Intelligence (IJCAI’20)
• AAAI 2021 Workshop: Towards Robust, Secure and Efficient Machine Learning (RSEML’21)

Journal Reviewer

• IEEE Transactions on Information Forensics and Security (T-IFS)
• IEEE Transactions on Network Science and Engineering (TNSE)
• IEEE Internet of Things Journal (IoTJ)

Volunteer

• The Thirty-eighth International Conference on Machine Learning (ICML’21) certificate

Awards

• 2015 National Endeavor Scholarship, China
• 2016 First prize, Top 1.1%, Contemporary Undergraduate Mathematical Contest in Modeling, China
• 2017 National Endeavor Scholarship, China
• 2017 First Grade Scholarship, China
• 2017 Meritorious Winner, Mathematical Contest In Modeling, US
• 2019- Research Scholarship, Singapore
• 2020 University Teaching for Teaching Assistants

Teaching Assistant

• CZ1012/CE1012 Engineering Mathematics (2019-2020, Semester 1/2, Labs)
• CZ3006/CE3005 Computer Networks (2019-2020, Semester 2/Special Term 1, Labs)
• CZ3006 Net-Centric Computing (2020-2021, Semester 1, Labs/Tutorials)
• CZ2001 Algorithms (2020-2021, Semester 1, Labs)

Mentees

• Chua Shan Jing (NTU SCSE, 2019)
• Terence Chan Chin Leng (NTU SCSE, 2019)
• Luo Jinqi (NTU SCSE, 2020)
• Chan Yan Cheng Jarod (NTU SCSE, 2020)
• Kant Mannan (NTU SCSE, 2020)
• Cao Shuxin (NTU EEE, 2020)
• Lu Yuhao (SJTU, 2020)
• Wang Xiaoyu (XJTU, 2020)
• Zhao Peizhu (NTU SCSE, URECA, 2020)

Last updated Oct. 2021