Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses

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Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses

7 July 2024

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Papers citing "Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses"

15 / 15 papers shown

Title
Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States Eli Chien Wei-Ning Chen P. Li 33 0 0 30 May 2025
Empirical Privacy Variance Yuzheng Hu Fan Wu Ruicheng Xian Yuhang Liu Lydia Zakynthinou Pritish Kamath Chiyuan Zhang David A. Forsyth 156 0 0 16 Mar 2025
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses Hao Liang Wentao Zhang Xinlei He Kaishun He Hong Xing 118 0 0 25 Feb 2025
On the Last-Iterate Convergence of Shuffling Gradient Methods Zijian Liu Zhengyuan Zhou 103 4 0 12 Mar 2024
Last Iterate Convergence of Incremental Methods and Applications in Continual Learning Xu Cai Jelena Diakonikolas 86 6 0 11 Mar 2024
Shifted Interpolation for Differential Privacy Jinho Bok Weijie Su Jason M. Altschuler 125 9 0 01 Mar 2024
Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses S. Asoodeh Mario Díaz 72 6 0 17 May 2023
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss Jason M. Altschuler Kunal Talwar FedML 146 61 0 27 May 2022
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent R. Chourasia Jiayuan Ye Reza Shokri FedML 118 71 0 11 Feb 2021
Private Stochastic Convex Optimization: Optimal Rates in Linear Time Vitaly Feldman Tomer Koren Kunal Talwar 85 211 0 10 May 2020
Rényi Differential Privacy of the Sampled Gaussian Mechanism Ilya Mironov Kunal Talwar Li Zhang 140 287 0 28 Aug 2019
Privacy Amplification by Iteration Vitaly Feldman Ilya Mironov Kunal Talwar Abhradeep Thakurta FedML 92 177 0 20 Aug 2018
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 241 6,199 0 01 Jul 2016
The Composition Theorem for Differential Privacy Peter Kairouz Sewoong Oh Pramod Viswanath 279 686 0 04 Nov 2013
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 285 1,491 0 01 Dec 2009

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