I received my Ph.D. degree from the Institute for Network Sciences and Cyberspace, Tsinghua University, advised by Prof. Qi Li. My research focuses on AI for cyber security, web attack detection, and trustworthy AI.

Email: peiyangli.20[at]gmail[dot]com

News

• One paper was accepted by NDSS 2026!
• One paper was accepted by ACM CCS 2025!
• I graduated from Tsinghua University!

Publications & Preprints

• Peiyang Li, Fukun Mei, Ye Wang, Zhuotao Liu, Ke Xu, Chao Shen, Qian Wang, Qi Li. Achieving Interpretable DL-based Web Attack Detection through Malicious Payload Localization. To appear in NDSS, 2026.
• Yuqi Qing, Qilei Yin, Xinhao Deng, Xiaoli Zhang, **Peiyang Li**, Zhuotao Liu, Kun Sun, Ke Xu, Qi Li. Training Robust Classifiers for Classifying Encrypted Traffic under Dynamic Network Conditions. To appear in ACM CCS, 2025.
• Peiyang Li, Ye Wang, Qi Li, Zhuotao Liu, Ke Xu, Ju Ren, Zhiying Liu and Ruilin Lin. Learning from Limited Heterogeneous Training Data: MetaLearning for Unsupervised Zero-Day Web Attack Detection across Web Domains. In Proceedings of the ACM CCS, 2023.
• Peiyang Li, Ye Wang, Zhuotao Liu, Ke Xu, Qian Wang, Chao Shen and Qi Li. Verifying the Quality of Outsourced Training on Clouds. In Proceedings of the ESORICS, 2022.
• Ye Wang, Yunpeng Liu, Ningtao Wang, Peiyang Li, Jiahao Hu, Xing Fu, Weiqiang Wang, Kun Sun and Qi Li, Ke Xu. Enhancing Fraud Transaction Detection via Unlabeled Suspicious Records. In Proceedings of the IWQoS, 2024. (Best Paper Award)
• Tianyu Cui, Yanling Wang, Chuanpu Fu, Yong Xiao, Sijia Li, Xinhao Deng, Yunpeng Liu, Qinglin Zhang, Ziyi Qiu, Peiyang Li, Zhixing Tan, Junwu Xiong, Xinyu Kong, Zujie Wen, Ke Xu, Qi Li. Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems. ArXiv preprint, 2024.

Internship Experience

Research Intern, Tencent, Beijing, China. 2022 - 2024

• Project 1: Multi-domain Zero-day Web Attack Detection
• Project 2: Hard-coded Credential Vulnerability Detection

Honors and Awards

• Best Paper Award, IEEE/ACM IWQoS. 2024
• Excellent Comprehensive Scholarship (THU). 2023
• Best Paper Award, International Doctoral Forum (CUHK & Microsoft). 2023
• Excellent Comprehensive Scholarship (THU). 2022
• Outstanding Graduate (NWPU). 2020
• China National Scholarship (Ministry of Education of China). 2017

Academic Services

Artifact Evaluation Committee Member: Security 2024, ACSAC 2022

Conference (Sub) Reviewer: NDSS 2022 2023 2024 2025, Usenix Security 2022 2023 2024, S&P 2023 2025, CCS 2023, GLOBECOM 2022, ICICS 2023, ACSAC 2022 2024, WWW 2023, ASIACCS 2022 2023 2024

Journal Reviewer: TDSC 2021 2022 2023