| 2025 | ICML | Private Model Personalization Revisited. | Conor Snedeker, Xinyu Zhou, Raef Bassily |
| 2024 | ALT | Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. | Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristbal Guzmn |
| 2024 | ICML | Differentially Private Domain Adaptation with Theoretical Guarantees. | Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri |
| 2024 | ICML | Differentially Private Worst-group Risk Minimization. | Xinyu Zhou, Raef Bassily |
| 2023 | AISTATS | Principled Approaches for Private Adaptation from a Public Source. | Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh |
| 2023 | COLT | Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap. | Raef Bassily, Cristbal Guzmn, Michael Menart |
| 2023 | ICML | Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. | Raman Arora, Raef Bassily, Toms Gonzlez, Cristbal Guzmn, Michael Menart, Enayat Ullah |
| 2023 | ICML | User-level Private Stochastic Convex Optimization with Optimal Rates. | Raef Bassily, Ziteng Sun |
| 2021 | COLT | Non-Euclidean Differentially Private Stochastic Convex Optimization. | Raef Bassily, Cristbal Guzmn, Anupama Nandi |
| 2021 | ECOOP | Differential Privacy for Coverage Analysis of Software Traces. | Yu Hao, Sufian Latif, Hailong Zhang, Raef Bassily, Atanas Rountev |
| 2020 | ALT | Privately Answering Classification Queries in the Agnostic PAC Model. | Anupama Nandi, Raef Bassily |
| 2020 | CC | A study of event frequency profiling with differential privacy. | Hailong Zhang, Yu Hao, Sufian Latif, Raef Bassily, Atanas Rountev |
| 2020 | ICML | Private Query Release Assisted by Public Data. | Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu |
| 2019 | AISTATS | Linear Queries Estimation with Local Differential Privacy. | Raef Bassily |
| 2019 | SCAM | Introducing Privacy in Screen Event Frequency Analysis for Android Apps. | Hailong Zhang, Sufian Latif, Raef Bassily, Atanas Rountev |
| 2018 | ALT | Learners that Use Little Information. | Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff |
| 2018 | ICML | The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning. | Siyuan Ma, Raef Bassily, Mikhail Belkin |
| 2016 | STOC | Algorithmic stability for adaptive data analysis. | Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman |
| 2015 | STOC | Local, Private, Efficient Protocols for Succinct Histograms. | Raef Bassily, Adam D. Smith |
| 2014 | FOCS | Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds. | Raef Bassily, Adam D. Smith, Abhradeep Thakurta |
| 2014 | SODA | Causal Erasure Channels. | Raef Bassily, Adam D. Smith |
| 2013 | FOCS | Coupled-Worlds Privacy: Exploiting Adversarial Uncertainty in Statistical Data Privacy. | Raef Bassily, Adam Groce, Jonathan Katz, Adam D. Smith |
| 2012 | CISS | Deaf cooperation for secrecy with a multi-antenna helper. | Raef Bassily, Sennur Ulukus |
| 2012 | WCNC | Decode-and-Forward based strategies for secrecy in multiple-relay networks. | Raef Bassily, Sennur Ulukus |
| 2011 | GLOBECOM | Deaf cooperation for secrecy in multiple-relay networks. | Raef Bassily, Sennur Ulukus |