Learning with User-Level Privacy

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Learning with User-Level Privacy

23 February 2021

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Papers citing "Learning with User-Level Privacy"

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Title
Algorithms for bounding contribution for histogram estimation under user-level privacy Yuhan Liu A. Suresh Wennan Zhu Peter Kairouz Marco Gruteser 59 9 0 07 Jun 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma Gautam Kamath Argyris Mouzakis Vikrant Singhal FedML 107 30 0 17 May 2022
Network change point localisation under local differential privacy Mengchu Li Thomas B. Berrett Yi Yu 78 7 0 14 May 2022
Private Non-Convex Federated Learning Without a Trusted Server Andrew Lowy Ali Ghafelebashi Meisam Razaviyayn FedML 99 27 0 13 Mar 2022
What Does it Mean for a Language Model to Preserve Privacy? Hannah Brown Katherine Lee Fatemehsadat Mireshghallah Reza Shokri Florian Tramèr PILM 104 243 0 11 Feb 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning A. Bietti Chen-Yu Wei Miroslav Dudík John Langford Zhiwei Steven Wu FedML 83 50 0 10 Feb 2022
Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism Samuel B. Hopkins Gautam Kamath Mahbod Majid FedML 80 62 0 25 Nov 2021
Node-Level Differentially Private Graph Neural Networks Ameya Daigavane Gagan Madan Aditya Sinha Abhradeep Thakurta Gaurav Aggarwal Prateek Jain 78 59 0 23 Nov 2021
A Private and Computationally-Efficient Estimator for Unbounded Gaussians Gautam Kamath Argyris Mouzakis Vikrant Singhal Thomas Steinke Jonathan R. Ullman 95 40 0 08 Nov 2021
Tight and Robust Private Mean Estimation with Few Users Cheng-Han Chiang Vahab Mirrokni Hung-yi Lee FedML 79 30 0 22 Oct 2021
User-Level Private Learning via Correlated Sampling Badih Ghazi Ravi Kumar Pasin Manurangsi FedML 125 13 0 21 Oct 2021
FriendlyCore: Practical Differentially Private Aggregation Eliad Tsfadia E. Cohen Haim Kaplan Yishay Mansour Uri Stemmer 111 36 0 19 Oct 2021
Private Multi-Task Learning: Formulation and Applications to Federated Learning Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 92 20 0 30 Aug 2021
Adapting to Function Difficulty and Growth Conditions in Private Optimization Hilal Asi Daniel Levy John C. Duchi 39 23 0 05 Aug 2021
Instance-optimal Mean Estimation Under Differential Privacy Ziyue Huang Yuting Liang K. Yi 80 57 0 01 Jun 2021