About Me

I am currently a third-year Ph.D. student in the Department of Computer Science and Engineering at Washington University in St. Louis, advised by Prof. Ning Zhang. Prior to that, I received dual Bachelor’s degrees in Communication Engineering from University of Electronic Science and Technology of China (UESTC) and University of Glasgow (UoG) (Graduated with First-class honor degree) in 2020. Additionally, I worked as a full-time research engineer in Tencent from 2020 to 2021.

Research Interests

  • Security and Privacy of Machine Learning, Generative AI, Large Language Model

What’s New

  • [Oct 2023] I am also actively looking for research internship opportunities for Summer 2024. My areas of interest include security and privacy, trustworthy machine learning, and large language models. If you know of any opportunities, please feel free to reach out!
  • [Oct 2023] One paper titled “Please Tell Me More: Privacy Impact of Explainability through the Lens of Membership Inference Attack” got accepted in IEEE S&P 2024!
  • [May 2023] I will start a new position as Applied Scientist Intern in Amazon this summer!
  • [February 2023] Two papers titled “RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation with Natural Prompts” and “SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples” got accepted in CVPR 2023!
  • [February 2023] One paper titled “IP Protection in TinyML” got accepted in DAC 2023!
  • [August 2022] One paper titled “When Evil Calls: Targeted Adversarial Voice over IP Network” got accepted in CCS 2022!
  • [August 2022] One paper titled “PolyRhythm: Adaptive Tuning of a Multi-Channel Attack Template for Timing Interference” got accepted in RTSS 2022!
  • [August 2022] One paper titled “From Timing Variations to Performance Degradation: Understanding and Mitigating the Impact of Software Execution Timing in SLAM” got accepted in IROS 2022!