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ORCIDRaef Bassily
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2020 – today
- 2024
[c40]Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán:
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. ALT 2024: 868-906- [c39]Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri:
Differentially Private Domain Adaptation with Theoretical Guarantees. ICML 2024 - [c38]Xinyu Zhou, Raef Bassily:
Differentially Private Worst-group Risk Minimization. ICML 2024 - [i29]Xinyu Zhou, Raef Bassily:
Differentially Private Worst-group Risk Minimization. CoRR abs/2402.19437 (2024) - [i28]Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora
:
Public-data Assisted Private Stochastic Optimization: Power and Limitations. CoRR abs/2403.03856 (2024) - 2023
- [c37]Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh:
Principled Approaches for Private Adaptation from a Public Source. AISTATS 2023: 8405-8432 - [c36]Raef Bassily, Cristóbal Guzmán, Michael Menart:
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap. COLT 2023: 2482-2508 - [c35]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: 1060-1092 - [c34]Raef Bassily, Ziteng Sun:
User-level Private Stochastic Convex Optimization with Optimal Rates. ICML 2023: 1838-1851 - [i27]Raef Bassily, Cristóbal Guzmán, Michael Menart:
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap. CoRR abs/2302.12909 (2023) - [i26]Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri:
Differentially Private Domain Adaptation with Theoretical Guarantees. CoRR abs/2306.08838 (2023) - [i25]Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán:
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. CoRR abs/2311.13447 (2023) - 2022
- [c33]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:
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC 2022: 16-25 - [c32]Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah:
Differentially Private Generalized Linear Models Revisited. NeurIPS 2022 - [c31]Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh:
Differentially Private Learning with Margin Guarantees. NeurIPS 2022 - [c30]Xinyu Zhou, Raef Bassily:
Task-level Differentially Private Meta Learning. NeurIPS 2022 - [i24]Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh:
Differentially Private Learning with Margin Guarantees. CoRR abs/2204.10376 (2022) - [i23]Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah:
Differentially Private Generalized Linear Models Revisited. CoRR abs/2205.03014 (2022) - [i22]Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah:
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. CoRR abs/2206.00846 (2022) - [i21]Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh:
Private Domain Adaptation from a Public Source. CoRR abs/2208.06135 (2022) - 2021
- [j9]Yu Hao, Sufian Latif, Hailong Zhang, Raef Bassily, Atanas Rountev:
Differential Privacy for Coverage Analysis of Software Traces (Artifact). Dagstuhl Artifacts Ser. 7(2): 07:1-07:3 (2021) - [j8]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) - [c29]Raef Bassily, Cristóbal Guzmán, Anupama Nandi:
Non-Euclidean Differentially Private Stochastic Convex Optimization. COLT 2021: 474-499 - [c28]Yu Hao, Sufian Latif, Hailong Zhang, Raef Bassily, Atanas Rountev:
Differential Privacy for Coverage Analysis of Software Traces. ECOOP 2021: 8:1-8:25 - [c27]Raef Bassily, Cristóbal Guzmán, Michael Menart:
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings. NeurIPS 2021: 9317-9329 - [i20]Raef Bassily, Cristóbal Guzmán, Anupama Nandi:
Non-Euclidean Differentially Private Stochastic Convex Optimization. CoRR abs/2103.01278 (2021) - [i19]Raef Bassily, Cristóbal Guzmán, Michael Menart:
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings. CoRR abs/2107.05585 (2021) - 2020
- [j7]Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Thakurta:
Practical Locally Private Heavy Hitters. J. Mach. Learn. Res. 21: 16:1-16:42 (2020) - [j6]Hailong Zhang, Yu Hao, Sufian Latif, Raef Bassily, Atanas Rountev:
Differentially-private software frequency profiling under linear constraints. Proc. ACM Program. Lang. 4(OOPSLA): 203:1-203:24 (2020) - [c26]Anupama Nandi, Raef Bassily:
Privately Answering Classification Queries in the Agnostic PAC Model. ALT 2020: 687-703 - [c25]Hailong Zhang, Yu Hao, Sufian Latif, Raef Bassily, Atanas Rountev:
A study of event frequency profiling with differential privacy. CC 2020: 51-62 - [c24]Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu:
Private Query Release Assisted by Public Data. ICML 2020: 695-703 - [c23]Sufian Latif, Yu Hao, Hailong Zhang, Raef Bassily, Atanas Rountev:
Introducing Differential Privacy Mechanisms for Mobile App Analytics of Dynamic Content. ICSME 2020: 267-277 - [c22]Raef Bassily, Vitaly Feldman, Cristóbal Guzmán, Kunal Talwar:
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses. NeurIPS 2020 - [c21]Raef Bassily, Shay Moran, Anupama Nandi:
Learning from Mixtures of Private and Public Populations. NeurIPS 2020 - [c20]Hailong Zhang, Sufian Latif, Raef Bassily, Atanas Rountev:
Differentially-Private Control-Flow Node Coverage for Software Usage Analysis. USENIX Security Symposium 2020: 1021-1038 - [i18]Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu:
Private Query Release Assisted by Public Data. CoRR abs/2004.10941 (2020) - [i17]Raef Bassily, Vitaly Feldman, Cristóbal Guzmán, Kunal Talwar:
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses. CoRR abs/2006.06914 (2020) - [i16]Raef Bassily, Shay Moran, Anupama Nandi:
Learning from Mixtures of Private and Public Populations. CoRR abs/2008.00331 (2020)
2010 – 2019
- 2019
- [c19]Raef Bassily:
Linear Queries Estimation with Local Differential Privacy. AISTATS 2019: 721-729 - [c18]Raef Bassily, Shay Moran, Noga Alon:
Limits of Private Learning with Access to Public Data. NeurIPS 2019: 10342-10352 - [c17]Raef Bassily, Vitaly Feldman, Kunal Talwar, Abhradeep Guha Thakurta:
Private Stochastic Convex Optimization with Optimal Rates. NeurIPS 2019: 11279-11288 - [c16]Hailong Zhang, Sufian Latif, Raef Bassily, Atanas Rountev:
Introducing Privacy in Screen Event Frequency Analysis for Android Apps. SCAM 2019: 268-279 - [i15]Raef Bassily, Anupama Nandi:
Privately Answering Classification Queries in the Agnostic PAC Model. CoRR abs/1907.13553 (2019) - [i14]Raef Bassily, Vitaly Feldman, Kunal Talwar, Abhradeep Thakurta:
Private Stochastic Convex Optimization with Optimal Rates. CoRR abs/1908.09970 (2019) - [i13]Noga Alon, Raef Bassily, Shay Moran:
Limits of Private Learning with Access to Public Data. CoRR abs/1910.11519 (2019) - 2018
- [c15]Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff:
Learners that Use Little Information. ALT 2018: 25-55 - [c14]Siyuan Ma, Raef Bassily, Mikhail Belkin:
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning. ICML 2018: 3331-3340 - [c13]Raef Bassily, Abhradeep Guha Thakurta, Om Dipakbhai Thakkar:
Model-Agnostic Private Learning. NeurIPS 2018: 7102-7112 - [c12]Hailong Zhang, Sufian Latif, Raef Bassily, Atanas Rountev:
Differentially-private software analytics for mobile apps: opportunities and challenges. SWAN@ESEC/SIGSOFT FSE 2018: 26-29 - [i12]Raef Bassily, Om Thakkar, Abhradeep Thakurta:
Model-Agnostic Private Learning via Stability. CoRR abs/1803.05101 (2018) - [i11]Raef Bassily:
Linear Queries Estimation with Local Differential Privacy. CoRR abs/1810.02810 (2018) - [i10]Raef Bassily, Mikhail Belkin, Siyuan Ma:
On exponential convergence of SGD in non-convex over-parametrized learning. CoRR abs/1811.02564 (2018) - 2017
- [c11]Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Guha Thakurta:
Practical Locally Private Heavy Hitters. NIPS 2017: 2288-2296 - [i9]Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Thakurta:
Practical Locally Private Heavy Hitters. CoRR abs/1707.04982 (2017) - [i8]Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff:
Learners that Leak Little Information. CoRR abs/1710.05233 (2017) - [i7]Siyuan Ma, Raef Bassily, Mikhail Belkin:
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning. CoRR abs/1712.06559 (2017) - 2016
- [c10]Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman:
Algorithmic stability for adaptive data analysis. STOC 2016: 1046-1059 - [i6]Raef Bassily, Yoav Freund:
Typicality-Based Stability and Privacy. CoRR abs/1604.03336 (2016) - 2015
- [c9]Raef Bassily, Adam D. Smith:
Local, Private, Efficient Protocols for Succinct Histograms. STOC 2015: 127-135 - [i5]Raef Bassily, Adam D. Smith:
Local, Private, Efficient Protocols for Succinct Histograms. CoRR abs/1504.04686 (2015) - [i4]Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman:
Algorithmic Stability for Adaptive Data Analysis. CoRR abs/1511.02513 (2015) - 2014
- [c8]Raef Bassily, Adam D. Smith, Abhradeep Thakurta:
Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds. FOCS 2014: 464-473 - [c7]Raef Bassily, Adam D. Smith:
Causal Erasure Channels. SODA 2014: 1844-1857 - [i3]Raef Bassily, Adam D. Smith, Abhradeep Thakurta:
Private Empirical Risk Minimization, Revisited. CoRR abs/1405.7085 (2014) - [i2]Raef Bassily, Adam D. Smith:
Causal Erasure Channels. CoRR abs/1409.3893 (2014) - 2013
- [j5]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): 16-28 (2013) - [j4]Raef Bassily, Sennur Ulukus:
Deaf Cooperation and Relay Selection Strategies for Secure Communication in Multiple Relay Networks. IEEE Trans. Signal Process. 61(6): 1544-1554 (2013) - [c6]Raef Bassily, Adam Groce, Jonathan Katz, Adam D. Smith:
Coupled-Worlds Privacy: Exploiting Adversarial Uncertainty in Statistical Data Privacy. FOCS 2013: 439-448 - 2012
- [j3]Raef Bassily, Sennur Ulukus:
Secure communication in multiple relay networks through decode-and-forward strategies. J. Commun. Networks 14(4): 352-363 (2012) - [j2]Raef Bassily, Sennur Ulukus:
Deaf Cooperation for Secrecy With Multiple Antennas at the Helper. IEEE Trans. Inf. Forensics Secur. 7(6): 1855-1864 (2012) - [j1]Raef Bassily, Sennur Ulukus:
Ergodic Secret Alignment. IEEE Trans. Inf. Theory 58(3): 1594-1611 (2012) - [c5]Raef Bassily, Sennur Ulukus:
Deaf cooperation for secrecy with a multi-antenna helper. CISS 2012: 1-6 - [c4]Raef Bassily, Sennur Ulukus:
Decode-and-Forward based strategies for secrecy in multiple-relay networks. WCNC 2012: 980-984 - 2011
- [c3]Raef Bassily, Sennur Ulukus:
Deaf cooperation for secrecy in multiple-relay networks. GLOBECOM Workshops 2011: 859-863 - 2010
- [c2]Raef Bassily, Sennur Ulukus:
Ergodic Secret Alignment for the Fading Multiple Access Wiretap Channel. ICC 2010: 1-5 - [i1]Raef Bassily, Sennur Ulukus:
Ergodic Secret Alignment. CoRR abs/1010.6057 (2010)
2000 – 2009
- 2009
- [c1]Raef Bassily, Sennur Ulukus:
A new achievable ergodic secrecy rate region for the fading multiple access wiretap channel. Allerton 2009: 819-826
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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