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Element Level Differential Privacy: The Right Granularity of Privacy

Element Level Differential Privacy: The Right Granularity of Privacy

5 December 2019
Hilal Asi
John C. Duchi
O. Javidbakht
ArXiv (abs)PDFHTML

Papers citing "Element Level Differential Privacy: The Right Granularity of Privacy"

10 / 10 papers shown
How Do Input Attributes Impact the Privacy Loss in Differential Privacy?
How Do Input Attributes Impact the Privacy Loss in Differential Privacy?
Tamara T. Mueller
Stefan Kolek
F. Jungmann
Alexander Ziller
Dmitrii Usynin
Moritz Knolle
Daniel Rueckert
Georgios Kaissis
388
3
0
18 Nov 2022
User-Entity Differential Privacy in Learning Natural Language Models
User-Entity Differential Privacy in Learning Natural Language Models
Phung Lai
Nhathai Phan
Tong Sun
R. Jain
Franck Dernoncourt
Jiuxiang Gu
Nikolaos Barmpalios
FedML
244
0
0
01 Nov 2022
Algorithms with More Granular Differential Privacy Guarantees
Algorithms with More Granular Differential Privacy GuaranteesInformation Technology Convergence and Services (ITCS), 2022
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
329
8
0
08 Sep 2022
Bayesian and Frequentist Semantics for Common Variations of Differential
  Privacy: Applications to the 2020 Census
Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
Daniel Kifer
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Philip Leclerc
Ashwin Machanavajjhala
William Sexton
Pavel I Zhuravlev
349
34
0
07 Sep 2022
HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data
  Generation
HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation
Chance N. DeSmet
D. Cook
287
1
0
13 Nov 2021
Shuffle Private Stochastic Convex Optimization
Shuffle Private Stochastic Convex OptimizationInternational Conference on Learning Representations (ICLR), 2021
Albert Cheu
Matthew Joseph
Jieming Mao
Binghui Peng
FedML
338
29
0
17 Jun 2021
Layer-wise Characterization of Latent Information Leakage in Federated
  Learning
Layer-wise Characterization of Latent Information Leakage in Federated Learning
Fan Mo
Anastasia Borovykh
Mohammad Malekzadeh
Hamed Haddadi
Soteris Demetriou
FedML
303
37
0
17 Oct 2020
Training Production Language Models without Memorizing User Data
Training Production Language Models without Memorizing User Data
Swaroop Indra Ramaswamy
Om Thakkar
Rajiv Mathews
Galen Andrew
H. B. McMahan
Franccoise Beaufays
FedML
411
95
0
21 Sep 2020
Context-Aware Local Differential Privacy
Context-Aware Local Differential PrivacyInternational Conference on Machine Learning (ICML), 2019
Jayadev Acharya
Kallista A. Bonawitz
Peter Kairouz
Daniel Ramage
Ziteng Sun
642
48
0
31 Oct 2019
SoK: Differential Privacies
SoK: Differential PrivaciesProceedings on Privacy Enhancing Technologies (PoPETs), 2019
Damien Desfontaines
Balázs Pejó
812
147
0
04 Jun 2019
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