Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1911.00038
Cited By
v1
v2 (latest)
Context-Aware Local Differential Privacy
31 October 2019
Jayadev Acharya
Kallista A. Bonawitz
Peter Kairouz
Daniel Ramage
Ziteng Sun
Re-assign community
ArXiv (abs)
PDF
HTML
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
Lasse Vuursteen
42
0
0
02 Nov 2024
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
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
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
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
Frédéric Berdoz
Abhishek Singh
Martin Jaggi
Ramesh Raskar
FedML
76
3
0
20 Nov 2022
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
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
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
Seira Hidano
Takao Murakami
70
9
0
21 Feb 2022
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
Teddy Cunningham
Graham Cormode
Hakan Ferhatosmanoglu
76
19
0
04 Aug 2021
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
Shun Takagi
Yang Cao
Masatoshi Yoshikawa
127
7
0
01 Mar 2021
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
Jayadev Acharya
Peter Kairouz
Yuhan Liu
Ziteng Sun
49
5
0
30 Oct 2020
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
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
Mengmeng Yang
Lingjuan Lyu
Jun Zhao
Tianqing Zhu
Kwok-Yan Lam
90
146
0
09 Aug 2020
SoK: Differential Privacies
Damien Desfontaines
Balázs Pejó
160
126
0
04 Jun 2019
1