DPGen: Automated Program Synthesis for Differential Privacy

15 September 2021

Papers citing "DPGen: Automated Program Synthesis for Differential Privacy"

8 / 8 papers shown

Title
Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting Lisa Oakley Steven Holtzen Alina Oprea 30 0 0 26 Feb 2024
Computationally Bounded Robust Compilation and Universally Composable Security Robert Künnemann Marco Patrignani Ethan Cecchetti 25 0 0 26 Jan 2024
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach Sofiane Ouaari Ali Burak Ünal Mete Akgun Nícolas Pfeifer 24 0 0 08 Sep 2023
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 $\varepsilon$ conomics: Improving differential privacy composition via a posteriori bounds Valentin Hartmann Vincent Bindschaedler Alexander Bentkamp Robert West 16 1 0 06 May 2022
PPA: Preference Profiling Attack Against Federated Learning Chunyi Zhou Yansong Gao Anmin Fu Kai Chen Zhiyang Dai Zhi-Li Zhang Minhui Xue Yuqing Zhang AAML 19 21 0 10 Feb 2022
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 88 278 0 02 Oct 2017
LightDP: Towards Automating Differential Privacy Proofs Danfeng Zhang Daniel Kifer 32 72 0 27 Jul 2016