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Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation

Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation

13 January 2022
Jiang Zhang
Lillian Clark
Matthew A. Clark
Konstantinos Psounis
Peter Kairouz
ArXivPDFHTML

Papers citing "Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation"

16 / 16 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
273
30,109
0
01 Mar 2022
Location Leakage in Federated Signal Maps
Location Leakage in Federated Signal Maps
Evita Bakopoulou
Justin Ley
Jiang Zhang
Konstantinos Psounis
A. Markopoulou
FedML
49
5
0
07 Dec 2021
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
264
438
0
04 Mar 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
245
6,252
0
10 Dec 2019
Federated Learning: Challenges, Methods, and Future Directions
Federated Learning: Challenges, Methods, and Future Directions
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
121
4,514
0
21 Aug 2019
Deep Leakage from Gradients
Deep Leakage from Gradients
Ligeng Zhu
Zhijian Liu
Song Han
FedML
94
2,204
0
21 Jun 2019
On (The Lack Of) Location Privacy in Crowdsourcing Applications
On (The Lack Of) Location Privacy in Crowdsourcing Applications
Spyros Boukoros
Mathias Humbert
Stefan Katzenbeisser
Carmela Troncoso
36
27
0
15 Jan 2019
A General Approach to Adding Differential Privacy to Iterative Training
  Procedures
A General Approach to Adding Differential Privacy to Iterative Training Procedures
H. B. McMahan
Galen Andrew
Ulfar Erlingsson
Steve Chien
Ilya Mironov
Nicolas Papernot
Peter Kairouz
67
193
0
15 Dec 2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From
  Federated Learning
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Peng Kuang
Mengkai Song
Zhifei Zhang
Yang Song
Qian Wang
Hairong Qi
FedML
76
786
0
03 Dec 2018
Generating Multi-Categorical Samples with Generative Adversarial
  Networks
Generating Multi-Categorical Samples with Generative Adversarial Networks
R. Camino
Christian A. Hammerschmidt
R. State
SyDa
GAN
38
71
0
03 Jul 2018
Improving the Gaussian Mechanism for Differential Privacy: Analytical
  Calibration and Optimal Denoising
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle
Yu Wang
MLT
71
405
0
16 May 2018
Context-Aware Generative Adversarial Privacy
Context-Aware Generative Adversarial Privacy
Chong Huang
Peter Kairouz
Xiao Chen
Lalitha Sankar
Ram Rajagopal
87
159
0
26 Oct 2017
LoPub: High-Dimensional Crowdsourced Data Publication with Local
  Differential Privacy
LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy
Xuebin Ren
Chia-Mu Yu
Weiren Yu
Shusen Yang
Xinyu Yang
Julie McCann
Philip S. Yu
27
108
0
13 Dec 2016
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
258
10,409
0
06 Nov 2014
Optimal Geo-Indistinguishable Mechanisms for Location Privacy
Optimal Geo-Indistinguishable Mechanisms for Location Privacy
N. E. Bordenabe
K. Chatzikokolakis
C. Palamidessi
86
277
0
20 Feb 2014
Differential Privacy: on the trade-off between Utility and Information
  Leakage
Differential Privacy: on the trade-off between Utility and Information Leakage
Mário S. Alvim
M. Andrés
K. Chatzikokolakis
P. Degano
C. Palamidessi
94
147
0
27 Mar 2011
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