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Proving Differential Privacy via Probabilistic Couplings
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Proving Differential Privacy via Probabilistic Couplings

19 January 2016
Gilles Barthe
Marco Gaboardi
B. Grégoire
Justin Hsu
Pierre-Yves Strub
ArXiv (abs)PDFHTML

Papers citing "Proving Differential Privacy via Probabilistic Couplings"

7 / 7 papers shown
Title
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Xinyu Tang
Ashwinee Panda
Milad Nasr
Saeed Mahloujifar
Prateek Mittal
161
23
0
09 Jan 2024
Understanding the Sparse Vector Technique for Differential Privacy
Understanding the Sparse Vector Technique for Differential Privacy
Min Lyu
D. Su
Ninghui Li
46
166
0
05 Mar 2016
On the Privacy Properties of Variants on the Sparse Vector Technique
On the Privacy Properties of Variants on the Sparse Vector Technique
Yan Chen
Ashwin Machanavajjhala
28
31
0
28 Aug 2015
Preserving Statistical Validity in Adaptive Data Analysis
Preserving Statistical Validity in Adaptive Data Analysis
Cynthia Dwork
Vitaly Feldman
Moritz Hardt
T. Pitassi
Omer Reingold
Aaron Roth
79
376
0
10 Nov 2014
Proving differential privacy in Hoare logic
Proving differential privacy in Hoare logic
Gilles Barthe
Marco Gaboardi
E. J. G. Arias
Justin Hsu
César Kunz
Pierre-Yves Strub
73
63
0
10 Jul 2014
Formal Verification of Differential Privacy for Interactive Systems
Formal Verification of Differential Privacy for Interactive Systems
Michael Carl Tschantz
D. Kaynar
Anupam Datta
80
45
0
14 Jan 2011
Differentially Private Combinatorial Optimization
Differentially Private Combinatorial Optimization
Anupam Gupta
Katrina Ligett
Frank McSherry
Aaron Roth
Kunal Talwar
78
231
0
26 Mar 2009
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