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Context-Aware Local Differential Privacy
v1v2 (latest)

Context-Aware Local Differential Privacy

31 October 2019
Jayadev Acharya
Kallista A. Bonawitz
Peter Kairouz
Daniel Ramage
Ziteng Sun
ArXiv (abs)PDFHTML

Papers citing "Context-Aware Local Differential Privacy"

21 / 21 papers shown
Title
Optimal Private and Communication Constraint Distributed Goodness-of-Fit
  Testing for Discrete Distributions in the Large Sample Regime
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
Lasse Vuursteen
42
0
0
02 Nov 2024
Enhancing Feature-Specific Data Protection via Bayesian Coordinate
  Differential Privacy
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
Maryam Aliakbarpour
Syomantak Chaudhuri
T. Courtade
Alireza Fallah
Michael I. Jordan
72
0
0
24 Oct 2024
Optimal Federated Learning for Nonparametric Regression with
  Heterogeneous Distributed Differential Privacy Constraints
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints
T. T. Cai
Abhinav Chakraborty
Lasse Vuursteen
FedML
83
3
0
10 Jun 2024
Federated Nonparametric Hypothesis Testing with Differential Privacy
  Constraints: Optimal Rates and Adaptive Tests
Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests
T. T. Cai
Abhinav Chakraborty
Lasse Vuursteen
FedML
77
2
0
10 Jun 2024
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human
Shuo Huang
William MacLean
Xiaoxi Kang
Qiongkai Xu
Zhuang Li
Xingliang Yuan
Zhuang Li
Lizhen Qu
133
0
0
06 Jun 2024
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data
Jiaqi Shao
Shanshan Han
Chaoyang He
B. Luo
FedML
58
1
0
05 Jul 2023
Scalable Collaborative Learning via Representation Sharing
Scalable Collaborative Learning via Representation Sharing
Frédéric Berdoz
Abhishek Singh
Martin Jaggi
Ramesh Raskar
FedML
76
3
0
20 Nov 2022
Algorithms with More Granular Differential Privacy Guarantees
Algorithms with More Granular Differential Privacy Guarantees
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
120
7
0
08 Sep 2022
Universal Optimality and Robust Utility Bounds for Metric Differential
  Privacy
Universal Optimality and Robust Utility Bounds for Metric Differential Privacy
Natasha Fernandes
Annabelle McIver
C. Palamidessi
Ming Ding
45
12
0
03 May 2022
Decouple-and-Sample: Protecting sensitive information in task agnostic
  data release
Decouple-and-Sample: Protecting sensitive information in task agnostic data release
Abhishek Singh
Ethan Garza
Ayush Chopra
Praneeth Vepakomma
Vivek Sharma
Ramesh Raskar
50
7
0
17 Mar 2022
Degree-Preserving Randomized Response for Graph Neural Networks under
  Local Differential Privacy
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
Seira Hidano
Takao Murakami
70
9
0
21 Feb 2022
Task-aware Privacy Preservation for Multi-dimensional Data
Task-aware Privacy Preservation for Multi-dimensional Data
Jiangnan Cheng
A. Tang
Sandeep P. Chinchali
68
7
0
05 Oct 2021
Privacy-Preserving Synthetic Location Data in the Real World
Privacy-Preserving Synthetic Location Data in the Real World
Teddy Cunningham
Graham Cormode
Hakan Ferhatosmanoglu
76
19
0
04 Aug 2021
Real-World Trajectory Sharing with Local Differential Privacy
Real-World Trajectory Sharing with Local Differential Privacy
Teddy Cunningham
Graham Cormode
Hakan Ferhatosmanoglu
D. Srivastava
62
50
0
04 Aug 2021
Asymmetric Differential Privacy
Asymmetric Differential Privacy
Shun Takagi
Yang Cao
Masatoshi Yoshikawa
127
7
0
01 Mar 2021
Deep Learning with Label Differential Privacy
Deep Learning with Label Differential Privacy
Badih Ghazi
Noah Golowich
Ravi Kumar
Pasin Manurangsi
Chiyuan Zhang
118
153
0
11 Feb 2021
Estimating Sparse Discrete Distributions Under Local Privacy and
  Communication Constraints
Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints
Jayadev Acharya
Peter Kairouz
Yuhan Liu
Ziteng Sun
49
5
0
30 Oct 2020
Local Differential Privacy for Regret Minimization in Reinforcement
  Learning
Local Differential Privacy for Regret Minimization in Reinforcement Learning
Evrard Garcelon
Vianney Perchet
Ciara Pike-Burke
Matteo Pirotta
92
37
0
15 Oct 2020
Strengthening Order Preserving Encryption with Differential Privacy
Strengthening Order Preserving Encryption with Differential Privacy
Amrita Roy Chowdhury
Bolin Ding
S. Jha
Weiran Liu
Jingren Zhou
45
9
0
11 Sep 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey
Local Differential Privacy and Its Applications: A Comprehensive Survey
Mengmeng Yang
Lingjuan Lyu
Jun Zhao
Tianqing Zhu
Kwok-Yan Lam
90
146
0
09 Aug 2020
SoK: Differential Privacies
SoK: Differential Privacies
Damien Desfontaines
Balázs Pejó
160
126
0
04 Jun 2019
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