NTU AIS Lab

National Taiwan University Artificial Intelligence Security Lab

臺灣大學 人工智慧安全實驗室 陳尚澤教授

⚖️Welcome to NTU AIS Lab

Welcome to the National Taiwan University Artificial Intelligence Security Lab. Our research focuses on trustworthy machine learning, emphasizing 🛡️robustness, 🔒privacy, and ⚖️fairness. While the accuracy of machine learning models in many fields is already very high, often surpassing human performance, they are increasingly being used in critical human-related decision-making processes. However, accuracy alone is not enough for practical applications. The robustness, reliability, security, and fairness of machine learning models are equally crucial. In our research, we aim to identify vulnerabilities in machine learning models under various environments and assumptions and propose solutions to strengthen these models. Our goal is to create reliable, secure, and fair machine learning systems, thereby fostering greater public trust in the technology.

We are always looking for highly motivated undergraduate and graduate students. Please contact us if you are interested in our research.

⚖️News

  • Jun. 2024 - Congratulations to our undergrad members for getting the awards in 大學部專題展. Pin-Han Huang got the first prize & the Appier prize, Ren-Wei Liang and Weiping Li got the the Vysioneer award.
  • Mar. 2024 - One paper accepted to CVPR Workshop 2024.
  • Jan. 2024 - One paper accepted to ICLR 2024.
  • Dec. 2023 - One paper accepted to AAAI 2024.
  • Jun. 2023 - Congratulations to our undergrad members Jan-Ting and Yu-Syun for getting the awards in 大學部專題展.
  • Nov. 2022 - Jacky Liu receives Garmin Fellowship. Congrats!
  • Aug. 2021 - Prof. Chen co-organized MLSS 2021.
  • Jul. 2021 - Hung-Jui and Wei-Lun got the Appeir AI Potential Award and the Honorable Mention Award at the NTU CSIE Undergraduate Research Competition, respectively. Congrats!

⚖️Our Team

Advisor

👑Prof. Shang-Tse Chen

PhD Students

👨‍🎓Bo-Han Kung       👨‍🎓Hsuan Su

MS Students

👨‍🎓Zhen-Ting Liu      👨‍🎓Hung-Yeh Chien      👨‍🎓Yu-Ling Hsu      👨‍🎓Kuan-Hsun Li      👨‍🎓Yu-Che Huang
👨‍🎓Edward Lee      👨‍🎓Bo-Han Lai      👨‍🎓Yu-Cheng Cheng      👨‍🎓Kin-Fong Chao

Research Assistant

👨‍🎓Jun-Jie Wang

⚖️Publications

Annealing

Annealing Self-Distillation Rectification Improves Adversarial Training

Yu-Yu Wu, Hung-Jui Wang, and Shang-Tse Chen

ICLR'24
QCRS

Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization

Bo-Han Kung and Shang-Tse Chen

AAAI'24
AdvCAPTCHA

Enhancing Targeted Attack Transferability via Diversified Weight Pruning

Hung-Jui Wang, Yu-Yu Wu, and Shang-Tse Chen

CVPR workshop'24
AdvCAPTCHA

AdvCAPTCHA: Creating Usable and Secure Audio CAPTCHA with Adversarial Machine Learning

Hao-Ping (Hank) Lee, Wei-Lun Kao, Hung-Jui Wang, Ruei-Che Chang, Yi-Hao Peng, Fu-Yin Cherng, and Shang-Tse Chen

USEC'24
Ensuring

Ensuring Bidirectional Privacy on Wireless Split Inference Systems

Chia-Che Sa, Li-Chen Cheng, Hsing-Huan Chung, Te-Chuan Chiu, Chih-Yu Wang, Ai-Chun Pang, and Shang-Tse Chen

IEEE Wireless Communications Magazine 2024
Position

Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue

Hsuan Su, Shachi H Kumar, Sahisnu Mazumder, Wenda Chen, Ramesh Manuvinakurike, Eda Okur, Saurav Sahay, Lama Nachman, Shang-Tse Chen, and Hung-yi Lee

ACL DialDoc Workshop'23
Fair

Fair Robust Active Learning by Joint Inconsistency

Tsung-Han Wu, Hung-Ting Su, Shang-Tse Chen, and Winston H. Hsu

ICCV Workshop'23

⚖️FAQ

  • Q: How can I join the NTU AIS Lab?
    A: We welcome self-motivated students, including undergraduates and graduates, to join us. If you are interested in the research topics of the lab, please email Professor Chen and include a brief resume. Professor Chen will arrange a short interview.
  • Q: What are the research areas of the NTUAIS Lab?
    A: Our research focuses on trustworthy machine learning, including robustness, privacy, and fairness.
  • Q: How can I learn more about the NTU AIS Lab's research?
    A: You can explore our publications and projects on this website.
  • Q: I am an undergraduate student. When is the best time for me to join the lab for a project?
    A: The sooner, the better.
  • Q: What qualities or skills does the professor expect from students working on their projects?
    A: The professor expects students to have a genuine desire to learn, be proactive rather than passive, and actively explore, with sufficient background in linear algebra and probability, and ideally, having completed a course in machine learning.

⚖️Contact Us

Prof. Shang-Tse Chen

Email: stchen@csie.ntu.edu.tw

Website: https://www.csie.ntu.edu.tw/~stchen/

Professor's Office: NTU CSIE Building 515

Lab Location: NTU CSIE Building 405

AISLAB
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