Publications

Below are selected publications. * indicates I am the corresponding author. Underline indicates my students, post-doc or intern.

Selected Journal Papers

• Wei Dong, Juanru Fang, Ke Yi, Yuchao Tao, Ashwin Machanavajjhala. “Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys.” TODS, 49(4):13, Nov 2024. [PDF]
• Wei Dong, Ke Yi. “Query Evaluation under Differential Privacy.” SIGMOD Rec., 52(3): 6-17, Nov 2023. [PDF]

Selected Conference Papers

Data Privacy and Security

• Huizhong Wang, Yuanyuan Zeng, Kun Chen, Wei Dong, Chenhao Ma. “Scalable Privacy-Preserving Shortest Path Distance Computation via 2-Hop Labeling in MPC.” SIGMOD, May 2026.
• Xinghe Chen, Dajun Sun, Quanqing Xu, Wei Dong*. “A General Framework for Per-record Differential Privacy.” SIGMOD, May 2026. [PDF]
• Yihua Hu, Hao Ding, Wei Dong*. “N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics.” SIGMOD, May 2026. [PDF]
• Siyi Wang, Qiyao Luo, Yihua Hu, Lixu Wang, Quanqing Xu, Chuanhui Yang, Zhan Qin, Kui Ren, Wei Dong*. “Defense against Poisoning Attacks under Shuffle-DP.” SIGMOD, May 2026.
• Yihua Hu, Kuncan Wang, Wei Dong*. “Acyclic Graph Pattern Counting under Local Differential Privacy.” SIGMOD, May 2026.
• Zhiang Wu, Wei Dong, Xiao Hu. “Differentially Oblivious Multi-way Joins.” SIGMOD, May 2026.
• Dajun Sun, Wei Dong*, Yuan Qiu, Ke Yi, Graham Cormode. "Sum Estimation under Personalized Local Differential Privacy." NeurIPS, Sep 2025. [PDF]
• Qiyao Luo, Jianzhe Yu, Wei Dong*, Quanqing Xu, Chuanhui Yang, Ke Yi. "RM²: Answer Counting Queries Efficiently under Shuffle Differential Privacy." SIGMOD, Jun 2025. [PDF] [Code]
• Dajun Sun, Wei Dong*, Yuan Qiu, Ke Yi. “Personalized Truncation for Personalized Privacy.” SIGMOD, Jun 2025. [PDF]
• Wei Dong, Qiyao Luo, Giulia Fanti, Elaine Shi, Ke Yi. “Almost Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy.” CCS, Oct 2024. [PDF] [Full Version]
• Dajun Sun, Wei Dong, Ke Yi. "Confidence Intervals for Private Query Processing." VLDB, Aug 2024. [PDF] [Full Version]
• Wei Dong, Zijun Chen, Qiyao Luo, Elaine Shi, Ke Yi. “Continual Observation of Joins under Differential Privacy.” SIGMOD, Jun 2024. [PDF]
• Wei Dong, Dajun Sun, Ke Yi. “Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy.” SIGMOD, Jun 2023. [PDF] [Code]
• Wei Dong, Ke Yi. “Universal Private Estimators.” PODS, Jun 2023. [PDF] [Full Version]
• Wei Dong, Qiyao Luo, Ke Yi. "Continual Observation under User-level Differential Privacy." S&P, May 2023. [PDF]
• Wei Dong, Yuting Liang, Ke Yi. "Differentially Private Covariance Revisited." NeurIPS, Nov 2022. [PDF] [Full Version] [Code]
• Juanru Fang, Wei Dong, Ke Yi. "Shifted Inverse: A General Mechanism for Monotonic Functions under User Differential Privacy." CCS, Nov 2022. [PDF] [Code]
• Wei Dong, Juanru Fang, Ke Yi, Yuchao Tao, Ashwin Machanavajjhala. “R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys.” SIGMOD, Jun 2022. [PDF] [Full Version] [Code] (Best Paper)
• Wei Dong, Ke Yi. “A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries.” PODS, Jun 2022. [PDF] [Code]
• Wei Dong, Ke Yi. “Residual Sensitivity for Differentially Private Multi-Way Joins.” SIGMOD, Jun 2021. [PDF] [Full Version] [Code]

LLM and AI Security

• Peizhuo Lv, Ruihua Zhou, Yunpeng Li, Ruigang Liang, Xingshuo Han, XiaoFeng Wang, Wei Dong*, Yuling Liu. "ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation Attacks." ACL, July 2026.
• Lixu Wang, Kaixiang Yao, Xinfeng Li, Dong Yang, Haoyang Li, XiaoFeng Wang, Wei Dong*. "The Person Behind the Sound: Demystifying Audio Private Attribute Profiling via Multimodal Large Language Models." S&P, May 2026.
• Xinfeng Li, Tianze Qiu, Yingbin Jin, Lixu Wang, Hanqing Guo, Xiaojun Jia, XiaoFeng Wang, Wei Dong*. "WebCloak: Characterizing and Mitigating Threats from LLM-Driven Web Agents as Intelligent Scrapers." S&P, May 2026. [PDF]
• Feiran Liu, Yuzhe Zhang, Xinyi Huang, Yinan Peng, Xinfeng Li, Lixu Wang, Yutong Shen, Ranjie Duan, Simeng Qin, Xiaojun Jia, Qingsong Wen, Wei Dong. "The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework." ACM MM, Oct 2025. [PDF]
• Lixu Wang, Chenxi Liu, Junfeng Guo, Qingqing Ye, Heng Huang, Haibo Hu, Wei Dong*. "Federated Continuous Category Discovery and Learning." ICCV, Oct 2025. [PDF]