Efficient mean estimation with pure differential privacy via a sum-of-squares exponential mechanism. - Samuel B. Hopkins 001; Gautam Kamath 001; Mahbod Majid (STOC, 2022)

Robustness Implies Privacy in Statistical Estimation. - Samuel B. Hopkins 001; Gautam Kamath 001; Mahbod Majid; Shyam Narayanan (STOC, 2023)

Sample-Efficient Private Learning of Mixtures of Gaussians. - Hassan Ashtiani; Mahbod Majid; Shyam Narayanan (NeurIPS, 2024)

On the Consistent Recovery of Joint Distributions from Conditionals. - Mahbod Majid; Rattana Pukdee; Vishwajeet Agrawal; Burak Varici; Pradeep Kumar Ravikumar (AISTATS, 2025)

Private Mean Estimation with Person-Level Differential Privacy. - Sushant Agarwal; Gautam Kamath 001; Mahbod Majid; Argyris Mouzakis; Rose Silver; Jonathan R. Ullman (SODA, 2025)

Sample-Optimal Private Regression in Polynomial Time. - Prashanti Anderson; Ainesh Bakshi; Mahbod Majid; Stefan Tiegel (STOC, 2025)