Bio

I will join Zhejiang University as an Assistant Professor in the College of Computer Science and Technology. Prior to that, I was a Visiting Assistant Professor at Stanford University and Research Group Leader at CISPA Helmholtz Center for Information Security. I obtained my Ph.D. degree from Zhejiang University on Sept. 2019, and continue my PostDoc research at CISPA for two years. From Oct. 2017 to May 2019, I was a visiting scholar at Purdue University.

If you are interested in working with me, please feel free to drop me an email with your CV.


Research Areas


News

  • [May 2024] One paper titled “TrustLLM: Trustworthy Large Language Models” got accepted in ICML 2024!
  • [April 2024] One paper titled “Real-Time Trajectory Synthesis with Local Differential Privacy” got accepted in ICDE 2024!
  • [April 2024] I will join the TPC of NDSS 2024!
  • [Feburary 2024] I received the distinguished reviewer award in NDSS 2024!
  • [Feburary 2024] Our paper titled “LMSanitator: Defending Task-agnostic Backdoors Against Prompt-tuning” received the distinguished paper award in NDSS 2024!
  • [Feburary 2024] One paper titled “DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training” got accepted in USENIX Security 2024!
  • [January 2024] I will join the TPC of KDD 2024!
  • [December 2023] I will join the TPC of ACM CCS 2024!
  • [September 2023] I will join the TPC of USENIX Security 2024!
  • [August 2023] I will join the TPC of WWW 2024!
  • [June 2023] One paper titled “LMSanitator: Defending Task-agnostic Backdoors Against Prompt-tuning” got accepted in NDSS 2024!
  • [June 2023] One paper titled “ORL-Auditor: Dataset Auditing in Offline Deep Reinforcement Learning” got accepted in NDSS 2024!
  • [May 2023] One paper titled “CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution” got accepted in KDD 2023!
  • [April 2023] One paper titled “Generated Graph Detection” got accepted in ICML 2023!
  • [April 2023] One paper titled “DPMLBench: Holistic Evaluation of Differentially Private Machine Learning” got accepted in ACM CCS 2023!
  • [March 2023] One paper titled “FACE-AUDITOR: Data Auditing in Facial Recognition Systems” got accepted in USENIX Security 2023!
  • [March 2023] I will join the TPC of NDSS 2024!
  • [March 2023] One paper titled “LDPTrace: Locally Differentially Private Trajectory Synthesis” got accepted in VLDB 2023!
  • [March 2023] One paper titled “PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information” got accepted in USENIX Security 2023!
  • [March 2023] I will join the TPC of PoPETS 2024!
  • [December 2022] I will join the TPC of KDD 2023!
  • [December 2022] I will join the TPC of CCS 2023!
  • [October 2022] I joined Stanford as a visiting assistant professor!
  • [September 2022] One paper titled “PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model” got accepted in USENIX Security 2023!
  • [August 2022] One paper titled “On the Privacy Risks of Cell-Based NAS Architectures” got accepted in ACM CCS 2022!
  • [April 2022] One paper titled “Graph Unlearning” got accepted in ACM CCS 2022!
  • [April 2022] One paper titled “Finding MNEMON: Reviving Memories of Node Embeddings” got accepted in ACM CCS 2022!
  • [March 2022] I will join the TPC of PoPETS 2023!
  • [January 2022] I will join the TPC of ESORICS 2022!
  • [November 2021] I won the Nomination Award for Outstanding Doctoral Thesis of Zhejiang Province! [Link]
  • [September 2021] One paper titled “ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models” got accepted in USENIX Security 2022!
  • [August 2021] One paper titled “When Machine Unlearning Jeopardize Privacy” got accepted in CCS 2021!
  • [July 2021] One paper titled “Continuous Release of Data Streams under both Centralized and Local Differential Privacy” got accepted in CCS 2021!
  • [July 2021] One paper titled “Inference Attacks Against Graph Neural Networks” got accepted in USENIX Security 2022!
  • [July 2021] I won the Nomination Award for Outstanding Doctoral Thesis of Zhejiang University! [Link]
  • [June 2021] One paper titled “DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges” got accepted in JPC!
  • [May 2021] One paper titled “AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy” got accepted in CCS 2021!
  • [April 2021] I will join the TPC of PoPETS 2022!
  • [December 2020] One paper titled “PrivSyn: Differentially Private Data Synthesis” got accepted in USENIX Security 2021!
  • [November 2019] I joined CISPA as a PostDoc!
  • [September 2019] I obtained my Ph.D. degree!
  • [May 2019] We won the second prize of the Differentially Private Synthetic Dataset Challenge hosted by NIST!