Publications

Note: * indicates I am the corresponding author. Underline indicates my student or post-doc.

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, 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

• Xinghe Chen, Dajun Sun, Quanqiang Xu, Wei Dong*. “A General Framework for Per-record Differential Privacy.” SIGMOD, May 2026.
• 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.
• 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]
• 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]
• 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]
• 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]
• Wei Dong, Yuting Liang, Ke Yi. “Differentially Private Covariance Revisited.” NeurIPS, Nov 2022. [full]
• 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] [code] (Best Paper)
• Wei Dong, Ke Yi. “A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries.” PODS, Jun 2022. [full]
• Wei Dong, Ke Yi. “Residual Sensitivity for Differentially Private Multi-Way Joins.” SIGMOD, Jun 2021. [full] [code]

LLM and AI Security

• 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]
• Lixu Wang, Chenxi Liu, Junfeng Guo, Qingqing Ye, Heng Huang, Haibo Hu, Wei Dong*. “Federated Continuous Category Discovery and Learning.” ICCV, Oct 2025.