Full Publications

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

2026

• Xinyun Zhou, Xinfeng Li, Yinan Peng, Ming Xu, Xuanwang Zhang, Miao Yu, Yidong Wang, Xiaojun Jia, Kun Wang, Qingsong Wen, XiaoFeng Wang, Wei Dong. "Evaluating RAG Robustness to Symbolic Perturbations." SIGKDD, August 2026. [pdf]
• Qiyao Luo, Yilei Wang, Wei Dong, Ke Yi. “Secure Query Processing with Linear Online Cost.” ICDE, 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.
• 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]
• Zihao Wang, Hao Peng, Wei Dong, Yuecen Wei, Li Sun, Zhengtao Yu. “RPGen: Robust and Differentially Private Synthetic Image Generation.” AAAI (Oral), Jan 2026.

2025

• Lixu Wang, Chenxi Liu, Junfeng Guo, Qingqing Ye, Heng Huang, Haibo Hu, Wei Dong*. "Federated Continuous Category Discovery and Learning." ICCV, Oct 2025. [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]
• 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]
• Lixu Wang, Bingqi Shang, Yi Li, Payal Mohapatra, Wei Dong, Xiao Wang, Qi Zhu. "Split Adaptation for Pre-trained Vision Transformers." CVPR, Jun 2025. [pdf]
• Yu He, Boheng Li, Liu Liu, Zhongjie Ba, Wei Dong, Yiming Li, Zhan Qin, Kui Ren, Chun Chen. "Towards Label-only Membership Inference Attack against Pre-trained Large Language Models." USENIX Security, Feb 2025. [pdf]
• Haoyang Li, Yiming Li, Anxin Tian, Tianhao Tang, Zhanchao Xu, Xuejia Chen, Nicole Hu, Wei Dong, Qing Li, Lei Chen. "A Survey on Large Language Model Acceleration Based on KV Cache Management." TMLR, 2025. [pdf]

2024

• Dajun Sun, Wei Dong*, Yuan Qiu, Ke Yi. "Personalized Truncation for Personalized Privacy." SIGMOD, Dec 2024. [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, Dec 2024. [pdf]
• Wei Dong, Juanru Fang, Ke Yi, Yuchao Tao, Ashwin Machanavajjhala. "Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys." TODS, Nov 2024. [pdf]
• Jianzhe Yu, Wei Dong, Juanru Fang, Dajun Sun, Ke Yi. "DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System." VLDB, Aug 2024. [pdf]
• Wei Dong, Zijun Chen, Qiyao Luo, Elaine Shi, Ke Yi. "Continual Observation of Joins under Differential Privacy." SIGMOD, May 2024. [pdf]

2023

• Wei Dong, Ke Yi. "Query Evaluation under Differential Privacy." SIGMOD Rec., 52(3): 6-17, Nov 2023. [pdf]
• Dajun Sun, Wei Dong, Ke Yi. "Confidence Intervals for Private Query Processing." VLDB, Nov 2023. [pdf]
• Wei Dong, Dajun Sun, Ke Yi. "Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy." SIGMOD, Jun 2023. [pdf]
• Wei Dong, Ke Yi. "Universal Private Estimators." PODS, Jun 2023. [pdf]
• Wei Dong, Qiyao Luo, Ke Yi. "Continual Observation under User-level Differential Privacy." S&P, May 2023. [pdf]

2022

• Wei Dong, Yuting Liang, Ke Yi. "Differentially Private Covariance Revisited." NeurIPS, Dec 2022. [pdf]
• Juanru Fang, Wei Dong, Ke Yi. "Shifted Inverse: A General Mechanism for Monotonic Functions under User Differential Privacy." CCS, Nov 2022. [pdf]
• Yuan Qiu, Wei Dong, Ke Yi, Bin Wu, Feifei Li. "Releasing Private Data for Numerical Queries." KDD, Aug 2022. [pdf]
• 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] (Best Paper)
• Wei Dong, Ke Yi. "A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries." PODS, Jun 2022. [pdf]

2021

• Wei Dong, Ke Yi. "Residual Sensitivity for Differentially Private Multi-way Joins." SIGMOD, Jun 2021. [pdf]