Raef Bassily

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 57

Top Topics

Stationary Points

Differential Privacy

Differentially Private

Top Venues

Publications

Xinyu Zhou, Raef Bassily
Differentially Private Worst-group Risk Minimization. CoRR (2024)
Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. ALT (2024)
Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora
Public-data Assisted Private Stochastic Optimization: Power and Limitations. CoRR (2024)
Raef Bassily, Cristóbal Guzmán, Michael Menart
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap. COLT (2023)
Raef Bassily, Cristóbal Guzmán, Michael Menart
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap. CoRR (2023)
Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. ICML (2023)
Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. CoRR (2023)
Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh
Principled Approaches for Private Adaptation from a Public Source. AISTATS (2023)
Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri
Differentially Private Domain Adaptation with Theoretical Guarantees. CoRR (2023)
Raef Bassily, Ziteng Sun
User-level Private Stochastic Convex Optimization with Optimal Rates. ICML (2023)
Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah
Differentially Private Generalized Linear Models Revisited. CoRR (2022)
Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah
Differentially Private Generalized Linear Models Revisited. NeurIPS (2022)
Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. CoRR (2022)
Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh
Differentially Private Learning with Margin Guarantees. NeurIPS (2022)
Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh
Differentially Private Learning with Margin Guarantees. CoRR (2022)
Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh
Private Domain Adaptation from a Public Source. CoRR (2022)
Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC (2022)
Xinyu Zhou, Raef Bassily
Task-level Differentially Private Meta Learning. NeurIPS (2022)
Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman
Algorithmic Stability for Adaptive Data Analysis. SIAM J. Comput. 50 (3) (2021)
Raef Bassily, Cristóbal Guzmán, Michael Menart
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings. CoRR (2021)
Yu Hao, Sufian Latif, Hailong Zhang, Raef Bassily, Atanas Rountev
Differential Privacy for Coverage Analysis of Software Traces. ECOOP (2021)
Raef Bassily, Cristobal Guzman, Anupama Nandi
Non-Euclidean Differentially Private Stochastic Convex Optimization. COLT (2021)
Raef Bassily, Cristóbal Guzmán, Michael Menart
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings. NeurIPS (2021)
Raef Bassily, Cristóbal Guzmán, Anupama Nandi
Non-Euclidean Differentially Private Stochastic Convex Optimization. CoRR (2021)
Yu Hao, Sufian Latif, Hailong Zhang, Raef Bassily, Atanas Rountev
Differential Privacy for Coverage Analysis of Software Traces (Artifact). Dagstuhl Artifacts Ser. 7 (2) (2021)
Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu
Private Query Release Assisted by Public Data. ICML (2020)
Sufian Latif, Yu Hao, Hailong Zhang, Raef Bassily, Atanas Rountev
Introducing Differential Privacy Mechanisms for Mobile App Analytics of Dynamic Content. ICSME (2020)
Hailong Zhang, Sufian Latif, Raef Bassily, Atanas Rountev
Differentially-Private Control-Flow Node Coverage for Software Usage Analysis. USENIX Security Symposium (2020)
Hailong Zhang, Yu Hao, Sufian Latif, Raef Bassily, Atanas Rountev
Differentially-private software frequency profiling under linear constraints. Proc. ACM Program. Lang. 4 (OOPSLA) (2020)
Raef Bassily, Shay Moran, Anupama Nandi
Learning from Mixtures of Private and Public Populations. NeurIPS (2020)
Raef Bassily, Shay Moran, Anupama Nandi
Learning from Mixtures of Private and Public Populations. CoRR (2020)
Raef Bassily, Vitaly Feldman, Cristóbal Guzmán, Kunal Talwar
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses. NeurIPS (2020)
Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Thakurta
Practical Locally Private Heavy Hitters. J. Mach. Learn. Res. 21 (2020)
Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu
Private Query Release Assisted by Public Data. CoRR (2020)
Anupama Nandi, Raef Bassily
Privately Answering Classification Queries in the Agnostic PAC Model. ALT (2020)
Hailong Zhang, Yu Hao, Sufian Latif, Raef Bassily, Atanas Rountev
A study of event frequency profiling with differential privacy. CC (2020)
Raef Bassily, Vitaly Feldman, Cristóbal Guzmán, Kunal Talwar
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses. CoRR (2020)
Raef Bassily, Vitaly Feldman, Kunal Talwar, Abhradeep Thakurta
Private Stochastic Convex Optimization with Optimal Rates. CoRR (2019)
Raef Bassily, Shay Moran, Noga Alon
Limits of Private Learning with Access to Public Data. NeurIPS (2019)
Raef Bassily
Linear Queries Estimation with Local Differential Privacy. AISTATS (2019)
Hailong Zhang, Sufian Latif, Raef Bassily, Atanas Rountev
Introducing Privacy in Screen Event Frequency Analysis for Android Apps. SCAM (2019)
Noga Alon, Raef Bassily, Shay Moran
Limits of Private Learning with Access to Public Data. CoRR (2019)
Raef Bassily, Vitaly Feldman, Kunal Talwar, Abhradeep Guha Thakurta
Private Stochastic Convex Optimization with Optimal Rates. NeurIPS (2019)
Raef Bassily, Anupama Nandi
Privately Answering Classification Queries in the Agnostic PAC Model. CoRR (2019)
Siyuan Ma, Raef Bassily, Mikhail Belkin
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning. ICML (2018)
Raef Bassily, Mikhail Belkin, Siyuan Ma
On exponential convergence of SGD in non-convex over-parametrized learning. CoRR (2018)
Raef Bassily
Linear Queries Estimation with Local Differential Privacy. CoRR (2018)
Hailong Zhang, Sufian Latif, Raef Bassily, Atanas Rountev
Differentially-private software analytics for mobile apps: opportunities and challenges. SWAN@ESEC/SIGSOFT FSE (2018)
Raef Bassily, Om Thakkar, Abhradeep Thakurta
Model-Agnostic Private Learning via Stability. CoRR (2018)
Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff
Learners that Use Little Information. ALT (2018)
Raef Bassily, Abhradeep Guha Thakurta, Om Dipakbhai Thakkar
Model-Agnostic Private Learning. NeurIPS (2018)
Siyuan Ma, Raef Bassily, Mikhail Belkin
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning. CoRR (2017)
Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Thakurta
Practical Locally Private Heavy Hitters. CoRR (2017)
Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Guha Thakurta
Practical Locally Private Heavy Hitters. NIPS (2017)
Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff
Learners that Leak Little Information. CoRR (2017)
Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman
Algorithmic stability for adaptive data analysis. STOC (2016)
Raef Bassily, Yoav Freund
Typicality-Based Stability and Privacy. CoRR (2016)
Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman
Algorithmic Stability for Adaptive Data Analysis. CoRR (2015)
Raef Bassily, Adam D. Smith
Local, Private, Efficient Protocols for Succinct Histograms. STOC (2015)
Raef Bassily, Adam D. Smith
Local, Private, Efficient Protocols for Succinct Histograms. CoRR (2015)
Raef Bassily, Adam D. Smith
Causal Erasure Channels. SODA (2014)
Raef Bassily, Adam D. Smith
Causal Erasure Channels. CoRR (2014)
Raef Bassily, Adam D. Smith, Abhradeep Thakurta
Private Empirical Risk Minimization, Revisited. CoRR (2014)
Raef Bassily, Adam D. Smith, Abhradeep Thakurta
Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds. FOCS (2014)
Raef Bassily, Adam Groce, Jonathan Katz, Adam D. Smith
Coupled-Worlds Privacy: Exploiting Adversarial Uncertainty in Statistical Data Privacy. FOCS (2013)
Raef Bassily, Sennur Ulukus
Deaf Cooperation and Relay Selection Strategies for Secure Communication in Multiple Relay Networks. IEEE Trans. Signal Process. 61 (6) (2013)
Raef Bassily, Ersen Ekrem, Xiang He, Ender Tekin, Jianwei Xie, Matthieu R. Bloch, Sennur Ulukus, Aylin Yener
Cooperative Security at the Physical Layer: A Summary of Recent Advances. IEEE Signal Process. Mag. 30 (5) (2013)
Raef Bassily, Sennur Ulukus
Deaf cooperation for secrecy with a multi-antenna helper. CISS (2012)
Raef Bassily, Sennur Ulukus
Decode-and-Forward based strategies for secrecy in multiple-relay networks. WCNC (2012)
Raef Bassily, Sennur Ulukus
Deaf Cooperation for Secrecy With Multiple Antennas at the Helper. IEEE Trans. Inf. Forensics Secur. 7 (6) (2012)
Raef Bassily, Sennur Ulukus
Ergodic Secret Alignment. IEEE Trans. Inf. Theory 58 (3) (2012)
Raef Bassily, Sennur Ulukus
Secure communication in multiple relay networks through decode-and-forward strategies. J. Commun. Networks 14 (4) (2012)
Raef Bassily, Sennur Ulukus
Deaf cooperation for secrecy in multiple-relay networks. GLOBECOM Workshops (2011)
Raef Bassily, Sennur Ulukus
Ergodic Secret Alignment for the Fading Multiple Access Wiretap Channel. ICC (2010)
Raef Bassily, Sennur Ulukus
Ergodic Secret Alignment CoRR (2010)
Raef Bassily, Sennur Ulukus
A new achievable ergodic secrecy rate region for the fading multiple access wiretap channel. Allerton (2009)