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DPGen: Automated Program Synthesis for Differential Privacy

DPGen: Automated Program Synthesis for Differential Privacy

15 September 2021
Yuxin Wang
Zeyu Ding
Yingtai Xiao
Daniel Kifer
Danfeng Zhang
    SyDa
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Papers citing "DPGen: Automated Program Synthesis for Differential Privacy"

5 / 5 papers shown
Title
Robust Representation Learning for Privacy-Preserving Machine Learning:
  A Multi-Objective Autoencoder Approach
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach
Sofiane Ouaari
Ali Burak Ünal
Mete Akgun
Nícolas Pfeifer
16
0
0
08 Sep 2023
Privacy for Free: How does Dataset Condensation Help Privacy?
Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong
Bo-Lu Zhao
Lingjuan Lyu
DD
20
113
0
01 Jun 2022
Privacy accounting $\varepsilon$conomics: Improving differential privacy
  composition via a posteriori bounds
Privacy accounting ε\varepsilonεconomics: Improving differential privacy composition via a posteriori bounds
Valentin Hartmann
Vincent Bindschaedler
Alexander Bentkamp
Robert West
10
1
0
06 May 2022
Prochlo: Strong Privacy for Analytics in the Crowd
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
83
278
0
02 Oct 2017
LightDP: Towards Automating Differential Privacy Proofs
LightDP: Towards Automating Differential Privacy Proofs
Danfeng Zhang
Daniel Kifer
29
72
0
27 Jul 2016
1