| 2026 | ACL | Automated Profile Inference with Language Model Agents. | Yuntao Du, Zitao Li, Bolin Ding, Yaliang Li, Hanshen Xiao, Jingren Zhou, Ninghui Li |
| 2026 | NDSS | Cascading and Proxy Membership Inference Attacks. | Yuntao Du, Jiacheng Li, Yuetian Chen, Kaiyuan Zhang, Zhizhen Yuan, Hanshen Xiao, Bruno Ribeiro, Ninghui Li |
| 2025 | CCS | One-Sided Bounded Noise: Theory, Optimization Algorithms and Applications. | Hanshen Xiao, Jun Wan, Elaine Shi, Srinivas Devadas |
| 2025 | ICML | Trustworthy Machine Learning through Data-Specific Indistinguishability. | Hanshen Xiao, Zhen Yang, G. Edward Suh |
| 2025 | SP | PAC-Private Algorithms. | Mayuri Sridhar, Hanshen Xiao, Srinivas Devadas |
| 2024 | CCS | Formal Privacy Proof of Data Encoding: The Possibility and Impossibility of Learnable Encryption. | Hanshen Xiao, G. Edward Suh, Srinivas Devadas |
| 2024 | SODA | Online Robust Mean Estimation. | Daniel M. Kane, Ilias Diakonikolas, Hanshen Xiao, Sihan Liu |
| 2023 | CCS | Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning. | Hanshen Xiao, Jun Wan, Srinivas Devadas |
| 2023 | CRYPTO | PAC Privacy: Automatic Privacy Measurement and Control of Data Processing. | Hanshen Xiao, Srinivas Devadas |
| 2023 | SP | A Theory to Instruct Differentially-Private Learning via Clipping Bias Reduction. | Hanshen Xiao, Zihang Xiang, Di Wang, Srinivas Devadas |
| 2022 | PODS | High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data. | Lijie Hu, Shuo Ni, Hanshen Xiao, Di Wang |
| 2020 | ICML | On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data. | Di Wang, Hanshen Xiao, Srinivas Devadas, Jinhui Xu |
| 2020 | TCC | Round-Efficient Byzantine Broadcast Under Strongly Adaptive and Majority Corruptions. | Jun Wan, Hanshen Xiao, Srinivas Devadas, Elaine Shi |
| 2020 | TCC | Expected Constant Round Byzantine Broadcast Under Dishonest Majority. | Jun Wan, Hanshen Xiao, Elaine Shi, Srinivas Devadas |
| 2017 | ICASSP | New residue arithmetic based Barrett algorithms: Modular polynomial computations. | Hari Krishna Garg, Hanshen Xiao |
| 2017 | TCC | On Iterative Collision Search for LPN and Subset Sum. | Srinivas Devadas, Ling Ren, Hanshen Xiao |