About me About me

Hi, I’m Suliya (苏莉娅) — currently working as an AI Security R&D Expert at Chaitin Technology, where I explore how LLMs and AI can be applied to cybersecurity (and how to keep them safe in the process).

Before this, I was a Security Algorithm Engineer at JD Cloud. I got my Ph.D. in Cyberspace Security from the Institute of Information Engineering, Chinese Academy of Sciences in 2021. My work sits at the intersection of AI and security — think malicious behavior analysis, graph neural networks, and figuring out creative ways attackers break things.

What’s New

• 2026: Third Prize in the Science and Technology Progress category of the CCF Science and Technology Achievement Awards, for “Research and Application of Key Technologies for Web Application Protection Based on Intelligent Semantic Analysis.”
• 2026: 1st Place in AI Agent Malicious Operation Behavior Detection at the AI Technology-Empowered Cybersecurity Application Testing Event.
• 2026: Second Prize in the China Cybersecurity Innovation and Entrepreneurship Competition, for the Chaitin ShouYuan AI Security Protection Solution.
• 2025: 1st Place in Tencent Cloud AI Agent CTF Competition (China’s first AI autonomous penetration challenge).
• 2025: 1st Place in Beijing CAC AI Content Security Protection Competition.
• 2025: Joined Chaitin Technology as AI Security R&D Expert, Oct 2025.
• 2024: Won 1st place in National Cybersecurity AI Capability Competition (guided by CAC).
• 2023: LLM security attack research reported on the front page of The New York Times.

Research Interests

• AI/LLM Security
• Network Data Security & Threat Intelligence
• Web Security & Blockchain Security
• Graph Neural Networks for Security

Experience

• AI Security R&D Expert, Chaitin Technology, Oct 2025 - Present
• Security Algorithm Engineer, JD Cloud Security Product R&D, Mar 2022 - Oct 2025
• DMT (Doctor Management Trainee), JD.com Inc., Jul 2021 - Mar 2022
• Visiting Researcher, CISPA Helmholtz Center for Information Security (Germany), Jan 2020 - Feb 2021, advised by Prof. Yang Zhang
• Visiting Student, Indiana University Bloomington (USA), May 2019 - Jun 2019, advised by Prof. XiaoFeng Wang

Selected Publications

1. Yuanbo Xie, Yingjie Zhang, Yulin Li, Shouyou Song, Xiaokun Chen, Zhihan Liu, Liya Su, Tingwen Liu. Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game. ACL 2026. paper
2. Xiaoyi Chen, Haoyuan Wang, Siyuan Tang, Sijia Liu, Liya Su, XiaoFeng Wang, Haixu Tang. Old Memories Die Hard: Unveiling Shallow Forgetting and Ripple Effects in Privacy Unlearning. EMNLP 2026. paper
3. Liya Su, Xinyue Shen, Xiangyu Du, Xiaojing Liao, XiaoFeng Wang, Luyi Xing, Baoxu Liu. Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications. USENIX Security 2021. (CCF-A) paper
4. Xiaoyi Chen, Siyuan Tang, Rui Zhu, Shijun Yan, Lei Jin, Zihao Wang, Liya Su, XiaoFeng Wang, Haixu Tang. The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks. Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security (CCS 2024). paper
5. Liya Su, Yepeng Yao, Chen Zhang, Zhigang Lu, Baoxu Liu. Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection. ICCS 2019: 102-115.
6. Liya Su, Yepeng Yao, Zhigang Lu, Baoxu Liu. Understanding the Influence of Graph Kernels on Deep Learning Architecture. TrustCom 2019: 312-318. (CCF-C)
7. Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu. Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection. TrustCom 2018: 744-753. (CCF-C)

Full list on Google Scholar.

Awards & Honors

• 2026: Third Prize in the Science and Technology Progress category of the CCF Science and Technology Achievement Awards, for “Research and Application of Key Technologies for Web Application Protection Based on Intelligent Semantic Analysis.”
• 2026: 1st Place in AI Agent Malicious Operation Behavior Detection at the AI Technology-Empowered Cybersecurity Application Testing Event.
• 2026: Second Prize in the China Cybersecurity Innovation and Entrepreneurship Competition, for the Chaitin ShouYuan AI Security Protection Solution.
• 2025: 1st Place, Tencent Cloud AI Agent CTF Competition (China’s first AI autonomous penetration challenge)
• 2025: 1st Place, Beijing CAC AI Content Security Protection Competition
• 2024: 1st Place, National Cybersecurity AI Capability Competition (guided by CAC)
• 2023: LLM security attack research reported on NYT front page
• 2023: 3rd Prize, JD Tech AI Innovation Application Contest
• 2022: National HW Sandbox Defense Champion (first-ever defender win)
• 2022: Yizhuang Yiqilin Outstanding Talent; JD Top 100 New Recruits
• 2021: National Scholarship

Education