Generalized Gaussian Mechanism for Differential Privacy

19 February 2016

Papers citing "Generalized Gaussian Mechanism for Differential Privacy"

41 / 41 papers shown

Title
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions Gokularam Muthukrishnan Sheetal Kalyani 87 0 0 28 Jan 2025
Differentially Private Distribution Estimation Using Functional Approximation Ye Tao Anand D. Sarwate FedML 44 0 0 11 Jan 2025
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI S. Giddens F. Liu 32 0 0 14 Nov 2024
Slowly Scaling Per-Record Differential Privacy Brian Finley Anthony M Caruso Justin C Doty Ashwin Machanavajjhala Mikaela R Meyer David Pujol William Sexton Zachary Terner 45 1 0 26 Sep 2024
Privacy-Preserving Set-Based Estimation Using Differential Privacy and Zonotopes Mohammed M. Dawoud Changxin Liu Karl H. Johansson Amr Alanwar 21 1 0 30 Aug 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 48 3 0 16 Aug 2024
Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection Zhiwei Yang Yuecen Wei Haoran Li Qian Li Lei Jiang Li Sun Xiaoyan Yu Chunming Hu Hao Peng 54 2 0 23 Jul 2024
RASE: Efficient Privacy-preserving Data Aggregation against Disclosure Attacks for IoTs Zuyan Wang Jun Tao Dikai Zou 16 0 0 31 May 2024
Differentially Private Federated Learning without Noise Addition: When is it Possible? Jiang Zhang Konstantinos Psounis FedML 53 0 0 06 May 2024
Privacy Amplification for the Gaussian Mechanism via Bounded Support Shengyuan Hu Saeed Mahloujifar Virginia Smith Kamalika Chaudhuri Chuan Guo FedML 46 1 0 07 Mar 2024
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) Xingyuan Zhao Fang Liu 30 0 0 20 Dec 2023
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning S. Giddens F. Liu 38 1 0 19 Sep 2023
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning S. Giddens Yiwang Zhou K. Krull T. Brinkman P. Song F. Liu 35 1 0 24 Jul 2023
Thompson Sampling under Bernoulli Rewards with Local Differential Privacy Bo Jiang Tianchi Zhao Ming Li 84 0 0 03 Jul 2023
Less is More: Revisiting the Gaussian Mechanism for Differential Privacy Tianxi Ji Pan Li 16 0 0 04 Jun 2023
Differentially Private Set-Based Estimation Using Zonotopes Mohammed M. Dawoud Changxin Liu Amr Alanwar Karl H. Johansson 14 3 0 12 May 2023
Grafting Laplace and Gaussian distributions: A new noise mechanism for differential privacy Gokularam Muthukrishnan Sheetal Kalyani 36 12 0 19 Dec 2022
The Bounded Gaussian Mechanism for Differential Privacy Bo Chen Matthew T. Hale 21 5 0 30 Nov 2022
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 25 9 0 03 Nov 2022
TAP: Transparent and Privacy-Preserving Data Services Daniël Reijsbergen Aung Maw Zheng Yang Tien Tuan Anh Dinh Jianying Zhou 23 12 0 21 Oct 2022
Differential Private Discrete Noise Adding Mechanism: Conditions, Properties and Optimization Shuying Qin Jianping He Chongrong Fang J. Lam 4 6 0 19 Mar 2022
Differential privacy for symmetric log-concave mechanisms S. Vinterbo 19 4 0 23 Feb 2022
Differential Privacy Made Easy Muhammad Aitsam SyDa 37 8 0 01 Jan 2022
Asymptotic in a class of network models with an increasing sub-Gamma degree sequence Jing Luo Haoyu Wei Xiaoyu Lei J. Guo 20 0 0 02 Nov 2021
Offset-Symmetric Gaussians for Differential Privacy Parastoo Sadeghi Mehdi Korki 21 8 0 13 Oct 2021
Some Examples of Privacy-preserving Publication and Sharing of COVID-19 Pandemic Data F. Liu Dong Wang Tian Yan 19 1 0 18 Jun 2021
Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model Jeyamohan Neera Xiaomin Chen N. Aslam Kezhi Wang Zhan Shu 18 13 0 26 Feb 2021
Observations on the Bias of Nonnegative Mechanisms for Differential Privacy Aisling McGlinchey O. Mason 16 2 0 08 Jan 2021
Disclosure Risk from Homogeneity Attack in Differentially Private Frequency Distribution Fang Liu Xingyuan Zhao 11 2 0 01 Jan 2021
Privacy-preserving Travel Time Prediction with Uncertainty Using GPS Trace Data Fang Liu Dong Wang Zhengquan Xu 18 18 0 01 Jan 2021
A bounded-noise mechanism for differential privacy Y. Dagan Gil Kur 25 22 0 07 Dec 2020
Local Generalization and Bucketization Technique for Personalized Privacy Preservation Boyu Li Kun He Geng Sun 11 13 0 25 Aug 2020
Reviewing and Improving the Gaussian Mechanism for Differential Privacy Jun Zhao Teng Wang Tao Bai Kwok-Yan Lam Zhiying Xu Shuyu Shi Xuebin Ren Xinyu Yang Yang Liu Han Yu 44 30 0 27 Nov 2019
Construction of Differentially Private Empirical Distributions from a low-order Marginals Set through Solving Linear Equations with l2 Regularization E. Eugenio Fang Liu 6 3 0 12 Dec 2018
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 21 518 0 07 Dec 2018
Differential Privacy Techniques for Cyber Physical Systems: A Survey M. Hassan M. H. Rehmani Jinjun Chen 27 432 0 06 Dec 2018
The Bounded Laplace Mechanism in Differential Privacy N. Holohan S. Antonatos S. Braghin Pól Mac Aonghusa 16 65 0 30 Aug 2018
A Differential Privacy Mechanism Design Under Matrix-Valued Query Thee Chanyaswad Alex Dytso H. Vincent Poor Prateek Mittal 16 1 0 26 Feb 2018
MVG Mechanism: Differential Privacy under Matrix-Valued Query Thee Chanyaswad Alex Dytso H. Vincent Poor Prateek Mittal 13 50 0 02 Jan 2018
More Flexible Differential Privacy: The Application of Piecewise Mixture Distributions in Query Release David B. Smith Kanchana Thilakarathna M. Kâafar 37 4 0 05 Jul 2017
Statistical Properties of Sanitized Results from Differentially Private Laplace Mechanism with Univariate Bounding Constraints Fang Liu 14 11 0 28 Jul 2016