DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. - Bao Wang 001; Quanquan Gu; March Boedihardjo; Farzin Barekat; Stanley J. Osher (CoRR, 2019)

DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. - Bao Wang 001; Quanquan Gu; March Boedihardjo; Lingxiao Wang 001; Farzin Barekat; Stanley J. Osher (MSML, 2020)

A Performance Guarantee for Spectral Clustering. - March Boedihardjo; Shaofeng Deng; Thomas Strohmer (SIAM J. Math. Data Sci., 2021)

Private measures, random walks, and synthetic data. - March Boedihardjo; Thomas Strohmer; Roman Vershynin (CoRR, 2022)

Private Sampling: A Noiseless Approach for Generating Differentially Private Synthetic Data. - March Boedihardjo; Thomas Strohmer; Roman Vershynin (SIAM J. Math. Data Sci., 2022)

Covariance loss, Szemeredi regularity, and differential privacy. - March Boedihardjo; Thomas Strohmer; Roman Vershynin (CoRR, 2023)

Sample-efficient private data release for Lipschitz functions under sparsity assumptions. - Konstantin Donhauser; Johan Lokna; Amartya Sanyal; March Boedihardjo; Robert Hönig; Fanny Yang (CoRR, 2023)

Privacy of Synthetic Data: A Statistical Framework. - March Boedihardjo; Thomas Strohmer; Roman Vershynin (IEEE Trans. Inf. Theory, 2023)

Certified private data release for sparse Lipschitz functions. - Konstantin Donhauser; Johan Lokna; Amartya Sanyal; March Boedihardjo; Robert Hönig; Fanny Yang (AISTATS, 2024)

Metric geometry of the privacy-utility tradeoff. - March Boedihardjo; Thomas Strohmer; Roman Vershynin (CoRR, 2024)

Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances. - Jie Wang 049; March Boedihardjo; Yao Xie 002 (CoRR, 2024)

Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data. - March Boedihardjo; Thomas Strohmer; Roman Vershynin (Found. Comput. Math., 2024)

On Extended Concentration Inequalities for Fast JL Embeddings of Infinite Sets. - Edem Boahen; March Boedihardjo; Rafael Chiclana; Mark A. Iwen (CoRR, 2025)