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Learning discrete distributions: user vs item-level privacy

Learning discrete distributions: user vs item-level privacy

27 July 2020
Yuhan Liu
A. Suresh
Felix X. Yu
Sanjiv Kumar
Michael Riley
    FedML
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Papers citing "Learning discrete distributions: user vs item-level privacy"

12 / 12 papers shown
Title
Better Locally Private Sparse Estimation Given Multiple Samples Per User
Better Locally Private Sparse Estimation Given Multiple Samples Per User
Yuheng Ma
Ke Jia
Hanfang Yang
FedML
36
1
0
08 Aug 2024
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
Bo Li
Wei Wang
Peng Ye
FedML
21
0
0
30 Jul 2024
Personalized Privacy-Preserving Framework for Cross-Silo Federated
  Learning
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning
Van Tuan Tran
Huy Hieu Pham
Kok-Seng Wong
FedML
21
7
0
22 Feb 2023
Does Federated Learning Really Need Backpropagation?
Does Federated Learning Really Need Backpropagation?
H. Feng
Tianyu Pang
Chao Du
Wei-Neng Chen
Shuicheng Yan
Min-Bin Lin
FedML
22
10
0
28 Jan 2023
Learning to Generate Image Embeddings with User-level Differential
  Privacy
Learning to Generate Image Embeddings with User-level Differential Privacy
Zheng Xu
Maxwell D. Collins
Yuxiao Wang
Liviu Panait
Sewoong Oh
S. Augenstein
Ting Liu
Florian Schroff
H. B. McMahan
FedML
22
29
0
20 Nov 2022
Towards Standardized Mobility Reports with User-Level Privacy
Towards Standardized Mobility Reports with User-Level Privacy
Alexandra Kapp
Saskia Nuñez von Voigt
Helena Mihaljević
Florian Tschorsch
21
2
0
19 Sep 2022
Algorithms with More Granular Differential Privacy Guarantees
Algorithms with More Granular Differential Privacy Guarantees
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
44
6
0
08 Sep 2022
Subject Membership Inference Attacks in Federated Learning
Subject Membership Inference Attacks in Federated Learning
Anshuman Suri
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
14
25
0
07 Jun 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning
  Using a Lazy Influence Approximation
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
Ljubomir Rokvic
Panayiotis Danassis
Sai Praneeth Karimireddy
Boi Faltings
TDI
18
1
0
23 May 2022
User-Level Private Learning via Correlated Sampling
User-Level Private Learning via Correlated Sampling
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
16
13
0
21 Oct 2021
On the Sample Complexity of Privately Learning Unbounded
  High-Dimensional Gaussians
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians
Ishaq Aden-Ali
H. Ashtiani
Gautam Kamath
32
41
0
19 Oct 2020
Privately Learning High-Dimensional Distributions
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
62
147
0
01 May 2018
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