Reviewing and Improving the Gaussian Mechanism for Differential Privacy

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Reviewing and Improving the Gaussian Mechanism for Differential Privacy

27 November 2019

Jun Zhao

Kwok-Yan Lam

Yang Liu

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Papers citing "Reviewing and Improving the Gaussian Mechanism for Differential Privacy"

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Title
The Safety-Privacy Tradeoff in Linear Bandits Arghavan Zibaie Spencer Hutchinson Ramtin Pedarsani Mahnoosh Alizadeh 57 0 0 23 Apr 2025
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction Xinwei Zhang Zhiqi Bu Mingyi Hong Meisam Razaviyayn 70 5 0 24 Aug 2024
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation Jianxin Wei Yizheng Zhu Xiaokui Xiao Ergute Bao Yin Yang Kuntai Cai Beng Chin Ooi AAML 122 0 0 06 Jul 2024
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation Sajani Vithana V. Cadambe Flavio du Pin Calmon Haewon Jeong FedML 86 2 0 03 Jul 2024
Mean Estimation Under Heterogeneous Privacy Demands Syomantak Chaudhuri Konstantin Miagkov T. Courtade 79 1 0 19 Oct 2023
MCMC for Bayesian nonparametric mixture modeling under differential privacy Mario Beraha Stefano Favaro Vinayak Rao 63 1 0 15 Oct 2023
It's Simplex! Disaggregating Measures to Improve Certified Robustness Andrew C. Cullen Paul Montague Shijie Liu S. Erfani Benjamin I. P. Rubinstein 78 3 0 20 Sep 2023
Training generative models from privatized data Daria Reshetova Wei-Ning Chen Ayfer Özgür FedML 60 3 0 15 Jun 2023
Less is More: Revisiting the Gaussian Mechanism for Differential Privacy Tianxi Ji Pan Li 28 1 0 04 Jun 2023
Concentrated Geo-Privacy Yuting Liang K. Yi 58 6 0 31 May 2023
Differential Privacy via Distributionally Robust Optimization Aras Selvi Huikang Liu W. Wiesemann 63 1 0 25 Apr 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 156 183 0 01 Mar 2023
A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks Chamara Sandeepa Bartlomiej Siniarski N. Kourtellis Shen Wang Madhusanka Liyanage 79 6 0 14 Dec 2022
Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR V. Nair Gonzalo Munilla Garrido Basel Alomair 76 36 0 11 Aug 2022
A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations Irene Balelli Santiago Silva Marco Lorenzi FedML 85 5 0 15 Apr 2022
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data Ryan McKenna G. Miklau Daniel Sheldon SyDa 78 127 0 11 Aug 2021
Cascading Bandit under Differential Privacy Kun Wang Jing Dong Baoxiang Wang Shuai Li Shuo Shao 69 1 0 24 May 2021
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 163 126 0 04 Jun 2019