Raef Bassily

According to our database, Raef Bassily authored at least 54 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2024

Public-data Assisted Private Stochastic Optimization: Power and Limitations.

Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora

CoRR, 2024

Differentially Private Worst-group Risk Minimization.

Xinyu Zhou, Raef Bassily

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Differentially Private Domain Adaptation with Theoretical Guarantees.

Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates.

Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

User-level Private Stochastic Convex Optimization with Optimal Rates.

Raef Bassily, Ziteng Sun

Proceedings of the International Conference on Machine Learning, 2023

Faster Rates of Convergence to Stationary Points in Differentially Private Optimization.

Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah

Proceedings of the International Conference on Machine Learning, 2023

Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap.

Raef Bassily, Cristóbal Guzmán, Michael Menart

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Principled Approaches for Private Adaptation from a Public Source.

Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Private Domain Adaptation from a Public Source.

Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh

CoRR, 2022

Task-level Differentially Private Meta Learning.

Xinyu Zhou, Raef Bassily

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentially Private Learning with Margin Guarantees.

Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentially Private Generalized Linear Models Revisited.

Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks.

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 B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying

Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

2021

Algorithmic Stability for Adaptive Data Analysis.

Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman

SIAM J. Comput., 2021

Differential Privacy for Coverage Analysis of Software Traces (Artifact).

Yu Hao, Sufian Latif, Hailong Zhang, Raef Bassily, Atanas Rountev

Dagstuhl Artifacts Ser., 2021

Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings.

Raef Bassily, Cristóbal Guzmán, Michael Menart

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differential Privacy for Coverage Analysis of Software Traces.

Yu Hao, Sufian Latif, Hailong Zhang, Raef Bassily, Atanas Rountev

Proceedings of the 35th European Conference on Object-Oriented Programming, 2021

Non-Euclidean Differentially Private Stochastic Convex Optimization.

Raef Bassily, Cristóbal Guzmán, Anupama Nandi

Proceedings of the Conference on Learning Theory, 2021

2020

Differentially-private software frequency profiling under linear constraints.

Hailong Zhang, Yu Hao, Sufian Latif, Raef Bassily, Atanas Rountev

Proc. ACM Program. Lang., 2020

Practical Locally Private Heavy Hitters.

Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Thakurta

J. Mach. Learn. Res., 2020

Differentially-Private Control-Flow Node Coverage for Software Usage Analysis.

Hailong Zhang, Sufian Latif, Raef Bassily, Atanas Rountev

Proceedings of the 29th USENIX Security Symposium, 2020

Learning from Mixtures of Private and Public Populations.

Raef Bassily, Shay Moran, Anupama Nandi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses.

Raef Bassily, Vitaly Feldman, Cristóbal Guzmán, Kunal Talwar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Introducing Differential Privacy Mechanisms for Mobile App Analytics of Dynamic Content.

Sufian Latif, Yu Hao, Hailong Zhang, Raef Bassily, Atanas Rountev

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Private Query Release Assisted by Public Data.

Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu

Proceedings of the 37th International Conference on Machine Learning, 2020

A study of event frequency profiling with differential privacy.

Hailong Zhang, Yu Hao, Sufian Latif, Raef Bassily, Atanas Rountev

Proceedings of the CC '20: 29th International Conference on Compiler Construction, 2020

Privately Answering Classification Queries in the Agnostic PAC Model.

Anupama Nandi, Raef Bassily

Proceedings of the Algorithmic Learning Theory, 2020

2019

Introducing Privacy in Screen Event Frequency Analysis for Android Apps.

Hailong Zhang, Sufian Latif, Raef Bassily, Atanas Rountev

Proceedings of the 19th International Working Conference on Source Code Analysis and Manipulation, 2019

Limits of Private Learning with Access to Public Data.

Raef Bassily, Shay Moran, Noga Alon

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Private Stochastic Convex Optimization with Optimal Rates.

Raef Bassily, Vitaly Feldman, Kunal Talwar, Abhradeep Guha Thakurta

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Linear Queries Estimation with Local Differential Privacy.

Raef Bassily

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

On exponential convergence of SGD in non-convex over-parametrized learning.

Raef Bassily, Mikhail Belkin, Siyuan Ma

CoRR, 2018

Model-Agnostic Private Learning via Stability.

Raef Bassily, Om Thakkar, Abhradeep Thakurta

CoRR, 2018

Differentially-private software analytics for mobile apps: opportunities and challenges.

Hailong Zhang, Sufian Latif, Raef Bassily, Atanas Rountev

Proceedings of the 4th ACM SIGSOFT International Workshop on Software Analytics, 2018

Model-Agnostic Private Learning.

Raef Bassily, Abhradeep Guha Thakurta, Om Dipakbhai Thakkar

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning.

Siyuan Ma, Raef Bassily, Mikhail Belkin

Proceedings of the 35th International Conference on Machine Learning, 2018

Learners that Use Little Information.

Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff

Proceedings of the Algorithmic Learning Theory, 2018

2017

Learners that Leak Little Information.

Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff

CoRR, 2017

2016

Typicality-Based Stability and Privacy.

Raef Bassily, Yoav Freund

CoRR, 2016

2015

Local, Private, Efficient Protocols for Succinct Histograms.

Raef Bassily, Adam D. Smith

Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

2014

Private Empirical Risk Minimization, Revisited.

Raef Bassily, Adam D. Smith, Abhradeep Thakurta

CoRR, 2014

Causal Erasure Channels.

Raef Bassily, Adam D. Smith

Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds.

Raef Bassily, Adam D. Smith, Abhradeep Thakurta

Proceedings of the 55th IEEE Annual Symposium on Foundations of Computer Science, 2014

2013

Deaf Cooperation and Relay Selection Strategies for Secure Communication in Multiple Relay Networks.

Raef Bassily, Sennur Ulukus

IEEE Trans. Signal Process., 2013

Cooperative Security at the Physical Layer: A Summary of Recent Advances.

Raef Bassily, Ersen Ekrem, Xiang He, Ender Tekin, Jianwei Xie, Matthieu R. Bloch, Sennur Ulukus, Aylin Yener

IEEE Signal Process. Mag., 2013

Coupled-Worlds Privacy: Exploiting Adversarial Uncertainty in Statistical Data Privacy.

Raef Bassily, Adam Groce, Jonathan Katz, Adam D. Smith

Proceedings of the 54th Annual IEEE Symposium on Foundations of Computer Science, 2013

2012

Ergodic Secret Alignment.

Raef Bassily, Sennur Ulukus

IEEE Trans. Inf. Theory, 2012

Deaf Cooperation for Secrecy With Multiple Antennas at the Helper.

Raef Bassily, Sennur Ulukus

IEEE Trans. Inf. Forensics Secur., 2012

Secure communication in multiple relay networks through decode-and-forward strategies.

Raef Bassily, Sennur Ulukus

J. Commun. Networks, 2012

Decode-and-Forward based strategies for secrecy in multiple-relay networks.

Raef Bassily, Sennur Ulukus

Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012

Deaf cooperation for secrecy with a multi-antenna helper.

Raef Bassily, Sennur Ulukus

Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2011

Deaf cooperation for secrecy in multiple-relay networks.

Raef Bassily, Sennur Ulukus

Proceedings of the Workshops Proceedings of the Global Communications Conference, 2011

2010

Ergodic Secret Alignment for the Fading Multiple Access Wiretap Channel.

Raef Bassily, Sennur Ulukus

Proceedings of IEEE International Conference on Communications, 2010

2009

A new achievable ergodic secrecy rate region for the fading multiple access wiretap channel.

Raef Bassily, Sennur Ulukus

Proceedings of the 47th Annual Allerton Conference on Communication, 2009