Protecting Global Properties of Datasets with Distribution Privacy Mechanisms

18 July 2022

Papers citing "Protecting Global Properties of Datasets with Distribution Privacy Mechanisms"

8 / 8 papers shown

Title
Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing Shuaiqi Wang Rongzhe Wei Mohsen Ghassemi Eleonora Kreacic Vamsi K. Potluru 23 1 0 22 May 2024
Approximation of Pufferfish Privacy for Gaussian Priors Ni Ding FedML 17 0 0 22 Jan 2024
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration Clément Pierquin A. Bellet Marc Tommasi Matthieu Boussard FedML 17 2 0 21 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 42 2 0 07 Dec 2023
Attesting Distributional Properties of Training Data for Machine Learning Vasisht Duddu Anudeep Das Nora Khayata Hossein Yalame T. Schneider Nirmal Asokan 27 5 0 18 Aug 2023
Summary Statistic Privacy in Data Sharing Zinan Lin Shuaiqi Wang Vyas Sekar Giulia Fanti 24 7 0 03 Mar 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 16 2 0 18 Jan 2023
Dissecting Distribution Inference Anshuman Suri Yifu Lu Yanjin Chen David E. Evans 23 14 0 15 Dec 2022