Mengyu Yao
I am a Ph.D. student in Computer Science at Peking University, advised by Prof. Yao Guo. I am a member of the Key Laboratory of High Confidence Software Technologies, Ministry of Education and expect to graduate in 2028.
Before joining PKU, I received my B.S. in Computer Science and Technology from Nanjing University in 2023.
Research [Google Scholar]
My research interests lie in security and privacy in AI systems, particularly retrieval-augmented generation, multimodal recommender systems, and AI agents.
Connect the Dots: Knowledge Graph-Guided Crawler Attack on Retrieval-Augmented Generation Systems
35th USENIX Security Symposium, 2026
From Zero to Hero: Cross-modal-enhanced Adversarial Item Promotion Attack against Multimodal Recommender Systems
35th USENIX Security Symposium, 2026
PredComp: Predicting Compiler Optimization Options with Multi-stage Learning
ACM Transactions on Architecture and Code Optimization (TACO), 2026
I Can Tell Your Secrets: Inferring Privacy Attributes from Mini-app Interaction History in Super-apps
34th USENIX Security Symposium, 2025
Grouptuner: Efficient Group-Aware Compiler Auto-tuning
ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), 2025
Not All Exceptions Are Created Equal: Triaging Error Logs in Real-World Enterprises
ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments when Attackers Have Pre-Trained Models
ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
Who Grants the Agent Power? Defending Against Instruction Injection via Task-Centric Access Control
SaTS 2025 (Co-located with ACM CCS 2025)
Who Moved My Transaction? Uncovering Post-Transaction Auditability Vulnerabilities in Modern Super Apps
SaTS 2025 (Co-located with ACM CCS 2025)
Internship Experience
Research Intern
Worked on model-cluster load optimization and the security of multimodal recommender systems.
Teaching Experience
Education
Ph.D. in Computer Science (Computer Software and Theory)
Advisor: Prof. Yao Guo
B.S. in Computer Science and Technology, Top-notch Undergraduate Program
GPA: 4.643 / 5.0 (Top 1%)
Honors and Awards
- Peking University Outstanding Scientific Research Award
- Canon Scholarship
- Outstanding Graduate of Nanjing University
- Special Scholarship for Basic Disciplines, Excellence Award
- People's Scholarship
- Special Scholarship for Basic Disciplines, Excellence Award
- Top-notch Undergraduate Program Scholarship, First Prize
- Outstanding Student, Nanjing University