I’m BAI TAO (白涛)

Ph.D Candidate in NTU SCSE. [CV]

About

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I am a third-year Ph.D student in School of Computer Science & Engineering, Nanyang Technological University. Prior to that, I was lucky to work with Prof Hong HUANG. And I obtained my Becholer degree from Wuhan University.

My current research interests lie in Adversarial Machine Learning, Generative Adversarial Networks (GAN) and related.

News

  • [Mar 18] Gonna be an intern in Huawei(SG) this summer. Open for internships next spring!
  • [Nov 02] One paper got accepted by AAAI 2021 (Student Abstract & Poster).

Latest Post

Jul 20, 2020

How to Write a Paper

General Tips Things to consider: What is the main message or conclusion of your paper? Tips on organization Before Writing Avoiding Jargon Adapting your writing style for expert vs novice audiences Abstract When to Write the Abstract Purpose Abstract Formula Introduction Purpose Introduction Formula Methods Identify Your Purpose Analyze your audience Skills State the reasons for choosing your methodology Use subheadings to organize content Provide minimal essential detail Avoid “we did…” or “the authors did…” General Tips If you don’t know where to start, then as a general rule it is suggested to start with the results. Read more
All Posts

Publications

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* Corresponding author

Conferences

  1. Jinqi Luo, Tao Bai*, and Jun Zhao. Generating Adversarial yet Inconspicuous Patches with a Single Image. In Proceedings of the AAAI Conference on Artificial Intelligence 2021. [PDF]

Preprints

  1. Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, and Qian Wang. Recent Advances in Adversarial Training for Adversarial Robustness. arXiv preprint arXiv:2102.01356 (2021). [PDF]
  2. Helin Yang, Tao Bai, Jun Zhao , Kwok-Yan Lam, Zehui Xiong, Liang Xiao, Qingqing Wu, Federated Machine Learning for COVID-19 Diagnosis. (In submission to Science Advances)
  3. Tao Bai, Jinqi Luo, and Jun Zhao. Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks. arXiv preprint arXiv:2011.01539 (2020). [PDF]
  4. 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 to ICME 2021) [PDF]
  5. Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, and Alex Kot. AI-GAN: Attack-Inspired Generation of Adversarial Examples. arXiv preprint arXiv:2002.02196, 2020. [PDF]
  6. 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 to Computer&Security Journal). [PDF]
  7. 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]

Teaching

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Supervision of Final Year Project (FYP)

  • 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)

Mentorships

  • Lu Yuhao (SJTU, 2020)
  • Wang Xiaoyu (XJTU, 2020)
  • Zhao Peizhu (URECA NTU, 2020)

Teaching Assistance

  • 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)

Services

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  • Reviewer of T-IFS.
  • Reviewer of IFIP Networking 2020, IJCAI 2020, RSEML 2021.

Contact

My current local time is .

taobai2078@gmail.com