Jiate Li

According to our database, Jiate Li authored at least 13 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Blind Spot of Agent Safety: How Benign User Instructions Expose Critical Vulnerabilities in Computer-Use Agents.

Xuwei Ding, Skylar Zhai, Linxin Song, Jiate Li, Taiwei Shi, Nicholas Meade, Siva Reddy, Jian Kang, Jieyu Zhao

CoRR, April, 2026

Auditable Agents.

Yi Nian, Aojie Yuan, Haiyue Zhang, Jiate Li, Yue Zhao

CoRR, April, 2026

No Attacker Needed: Unintentional Cross-User Contamination in Shared-State LLM Agents.

Tiankai Yang, Jiate Li, Yi Nian, Shen Dong, Ruiyao Xu, Ryan Rossi, Kaize Ding, Yue Zhao

CoRR, April, 2026

Infrastructure for Valuable, Tradable, and Verifiable Agent Memory.

Mengyuan Li, Lei Gao, Haoxuan Xu, Jiate Li, Potung Yu, Lingke Cheng, Yue Zhao, Murali Annavaram

CoRR, March, 2026

"Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval.

Jiate Li, Defu Cao, Li Li, Wei Yang, Yuehan Qin, Chenxiao Yu, Tiannuo Yang, Ryan A. Rossi, Yan Liu, Xiyang Hu, Yue Zhao

CoRR, February, 2026

When Deepfake Detection Meets Graph Neural Network: A Unified and Lightweight Framework.

Haoyu Liu, Chaoyu Gong, Mengke He, Jiate Li, Kai Han, Siqiang Luo

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

A Systematic Study of Model Extraction Attacks on Graph Foundation Models.

Haoyan Xu, Ruizhi Qian, Jiate Li, Yushun Dong, Minghao Lin, Hanson Yan, Zhengtao Yao, Qinghua Liu, Junhao Dong, Ruopeng Huang, Yue Zhao, Mengyuan Li

CoRR, November, 2025

When Deepfake Detection Meets Graph Neural Network:a Unified and Lightweight Learning Framework.

Haoyu Liu, Chaoyu Gong, Mengke He, Jiate Li, Kai Han, Siqiang Luo

CoRR, August, 2025

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

Jiate Li, Binghui Wang

Proceedings of the 34th USENIX Security Symposium, 2025

Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks.

Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Jiate Li, Meng Pang, Yun Dong, Binghui Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs - a Graph Sequential Embedding Method.

Jiate Li, Meng Pang, Binghui Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Graph Neural Network Explanations are Fragile.

Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024