Shang-Tse Chen

Shang-Tse Chen is an Associate Professor at the Department of Computer Science and Information Engineering and Graduate Institute of Networking and Multimedia, National Taiwan University. He leads the NTU AI Security Lab, focusing on applied and theoretical machine learning with emphasis on cybersecurity, adversarial ML, and ML privacy/fairness.

• Education: PhD in Computer Science (Georgia Tech, 2019), BSc in CSIE (NTU, 2010)
• Awards: K. T. Li Young Researcher Award (2025), IBM PhD Fellowship (2018), KDD Best Student Paper Runner-Up (2016), NSF SaTC Grant (2017-2021)

His research spans adversarial ML, certified defenses, model inversion attacks, and intersection with differential privacy/fairness. Recent work includes physical adversarial attacks on object detectors and practical defenses using JPEG compression. He teaches courses like Security and Privacy of Machine Learning and Introduction to Medical Informatics.

Key publication trends show focus on adversarial robustness (ICML/NeurIPS/ICLR), cybersecurity applications (ACSAC), and ML fairness (ACL/EMNLP). Collaborations include industry partnerships with Intel Labs and Symantec.

• Scientific Awards:
  • K. T. Li Young Researcher Award (2025)
  • ACM TiiS Best Paper Honorable Mention (2020)
  • IBM PhD Fellowship (2018)
  • KDD Audience Appreciation Award Runner-Up (2018)
  • Symantec Fellowship Runner-Up (2016)
  • KDD Best Student Paper Runner-Up (2016)
  • NSF Grant (2017)

He advises 13 current students (PhD/MS/Undergrad) and has mentored alumni now at CMU/UC Berkeley. The lab actively recruits postdocs and students across levels.