Monotone iterative for fourth-order p-Laplacian boundary value problems with impulsive effects. - Guoliang Shi; Xianrui Meng (Appl. Math. Comput., 2006)

Computational Fuzzy Extractors. - Benjamin Fuller 001; Xianrui Meng; Leonid Reyzin (IACR Cryptol. ePrint Arch., 2013)

Privacy Preserving Similarity Evaluation of Time Series Data. - Haohan Zhu; Xianrui Meng; George Kollios (EDBT, 2014)

Secure Top-k Query Processing on Encrypted Databases. - Xianrui Meng; Haohan Zhu; George Kollios (CoRR, 2015)

GRECS: Graph Encryption for Approximate Shortest Distance Queries. - Xianrui Meng; Seny Kamara; Kobbi Nissim; George Kollios (IACR Cryptol. ePrint Arch., 2015)

Privacy-preserving queries on encrypted databases - Xianrui Meng (2016)

NED: An Inter-Graph Node Metric Based On Edit Distance. - Haohan Zhu; Xianrui Meng; George Kollios (Proc. VLDB Endow., 2017)

Top-k Query Processing on Encrypted Databases with Strong Security Guarantees. - Xianrui Meng; Haohan Zhu; George Kollios (ICDE, 2018)

Privacy-Preserving Hierarchical Clustering: Formal Security and Efficient Approximation. - Xianrui Meng; Dimitrios Papadopoulos 001; Alina Oprea; Nikos Triandopoulos (CoRR, 2019)

SAPAG: A Self-Adaptive Privacy Attack From Gradients. - Yijue Wang; Jieren Deng; Dan Guo; Chenghong Wang; Xianrui Meng; Hang Liu 001; Caiwen Ding; Sanguthevar Rajasekaran (CoRR, 2020)

Privacy-Preserving XGBoost Inference. - Xianrui Meng; Joan Feigenbaum (CoRR, 2020)

Private Hierarchical Clustering and Efficient Approximation. - Xianrui Meng; Dimitrios Papadopoulos 001; Alina Oprea; Nikos Triandopoulos (CCSW, 2021)

A Secure and Efficient Federated Learning Framework for NLP. - Chenghong Wang; Jieren Deng; Xianrui Meng; Yijue Wang; Ji Li 006; Sheng Lin 001; Shuo Han 002; Fei Miao; Sanguthevar Rajasekaran; Caiwen Ding (EMNLP (1), 2021)

Variance of the Gradient Also Matters: Privacy Leakage from Gradients. - Yijue Wang; Jieren Deng; Dan Guo; Chenghong Wang; Xianrui Meng; Hang Liu 001; Chao Shang; Binghui Wang; Qin Cao; Caiwen Ding; Sanguthevar Rajasekaran (IJCNN, 2022)