| 2025 | ICML | Tracking The Best Expert Privately. | Hilal Asi, Vinod Raman, Aadirupa Saha |
| 2025 | ICML | Faster Rates for Private Adversarial Bandits. | Hilal Asi, Vinod Raman, Kunal Talwar |
| 2024 | AISTATS | User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates. | Daogao Liu, Hilal Asi |
| 2024 | COLT | Universally Instance-Optimal Mechanisms for Private Statistical Estimation. | Hilal Asi, John C. Duchi, Saminul Haque, Zewei Li, Feng Ruan |
| 2024 | ICML | Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages. | Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar, Samson Zhou |
| 2023 | COLT | Private Online Prediction from Experts: Separations and Faster Rates. | Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar |
| 2023 | ICML | Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime. | Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar |
| 2023 | ICML | From Robustness to Privacy and Back. | Hilal Asi, Jonathan R. Ullman, Lydia Zakynthinou |
| 2022 | ICML | Private optimization in the interpolation regime: faster rates and hardness results. | Hilal Asi, Karan N. Chadha, Gary Cheng, John C. Duchi |
| 2022 | ICML | Optimal Algorithms for Mean Estimation under Local Differential Privacy. | Hilal Asi, Vitaly Feldman, Kunal Talwar |
| 2021 | ICML | Private Adaptive Gradient Methods for Convex Optimization. | Hilal Asi, John C. Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar |
| 2021 | ICML | Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry. | Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar |
| 2019 | AISTATS | Modeling simple structures and geometry for better stochastic optimization algorithms. | Hilal Asi, John C. Duchi |
| 2017 | ISIT | Nearly optimal constructions of PIR and batch codes. | Hilal Asi, Eitan Yaakobi |