Hi everyone! I’m Jiate Li, a Ph.D. student at Thomas Lord Department of Computer Science, University of Southern California, supervised by Prof. Yue Zhao. For ease of pronouncing you can call me Jet Lee.

Before joining USC, I worked as a remote research intern under the mentorship of Prof. Binghui Wang from Illinois Institute of Technology, and conducted research on the GNN Trustworthiness in 2022-2024. In 2024-2025, I worked as a research assitant under the mentorship of Prof. Siqiang Luo in CCDS at Nanyang Technological University, where I researched on GNN Applications. Previously, I received my bachelor degree at Zhejiang University in 2022 and my master degree at National University of Singapore in 2023.

News

[2025.07.16] I receive USENIX Sec 25’ Professional Grant for attending the conference. Thanks for the support!

[2025.03.11] I’m joining USC in 25’Fall to start my CS Ph.D. study!

Publications

Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations

Jiate Li, Meng Pang, Yun Dong, Binghui Wang. (2025). "Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations." CVPR 2025.

Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks

Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang. (2025). "Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks." ICLR 2025.

AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification

Jiate Li, Binghui Wang. (2025). "AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification." Usenix Security 2025.

Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs–A Graph Sequential Embedding Method

Jiate Li, Meng Pang, Binghui Wang. (2025). "Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs--A Graph Sequential Embedding Method." AAAI 2025.

Graph Neural Network Explanations are Fragile.

Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang. (2024). "Graph Neural Network Explanations are Fragile." ICML 2024.

Services

Program Committee Member of AAAI (2026).

Conference Reviewer of NeurIPS (2025).

Awards

USENIX Security 2025 Professional Grant.

Education

• Ph.D. Student in Computer Science,
  2025-Present, Los Angeles
  • Thomas Lord Department of Computer Science, University of Southern California
  • Supervisor: Prof. Yue Zhao

• Master of Computing with Artificial Intelligence Specialisation,
  2022-2023, Singapore
  • School of Computing, National University of Singapore

• Bachelor of Engineering in Computer Science and Technology,
  2018-2022, Hangzhou
  • College of Computer Science and Technology, Zhejiang University

Work Experience

• Research Assistant
  Fall 2024-Spring 2025, Singapore
  • Nanyang Technological University
  • Research Interests: GNN Application
  • Supervisor: Prof. Siqiang Luo

• Research Intern
  Fall 2022-Fall 2024, Remote
  • Illinois Institute of Technology
  • Research Interests: GNN Trustworthiness
  • Supervisor: Prof. Binghui Wang