Optimal Accounting of Differential Privacy via Characteristic Function

16 June 2021

Papers citing "Optimal Accounting of Differential Privacy via Characteristic Function"

24 / 24 papers shown

Title
Empirical Privacy Variance Yuzheng Hu Fan Wu Ruicheng Xian Yuhang Liu Lydia Zakynthinou Pritish Kamath Chiyuan Zhang David A. Forsyth 106 0 0 16 Mar 2025
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions Gokularam Muthukrishnan Sheetal Kalyani 116 1 0 28 Jan 2025
Balls-and-Bins Sampling for DP-SGD Lynn Chua Badih Ghazi Charlie Harrison Ethan Leeman Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 124 6 0 21 Dec 2024
The 2020 United States Decennial Census Is More Private Than You (Might) Think Buxin Su Weijie J. Su Chendi Wang 58 3 0 11 Oct 2024
Near Exact Privacy Amplification for Matrix Mechanisms Christopher A. Choquette-Choo Arun Ganesh Saminul Haque Thomas Steinke Abhradeep Thakurta 100 9 0 08 Oct 2024
Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition C. Lebeda Matthew Regehr Gautam Kamath Thomas Steinke 97 10 0 27 May 2024
Private Fine-tuning of Large Language Models with Zeroth-order Optimization Xinyu Tang Ashwinee Panda Milad Nasr Saeed Mahloujifar Prateek Mittal 143 23 0 09 Jan 2024
Numerical Composition of Differential Privacy Sivakanth Gopi Y. Lee Lukas Wutschitz 54 178 0 05 Jun 2021
Computing Differential Privacy Guarantees for Heterogeneous Compositions Using FFT A. Koskela Antti Honkela 33 20 0 24 Feb 2021
Three Variants of Differential Privacy: Lossless Conversion and Applications S. Asoodeh Jiachun Liao Flavio du Pin Calmon O. Kosut Lalitha Sankar 49 39 0 14 Aug 2020
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT A. Koskela Hibiki Ito Lukas Prediger Antti Honkela 42 59 0 12 Jun 2020
Hypothesis Testing Interpretations and Renyi Differential Privacy Borja Balle Gilles Barthe Marco Gaboardi Justin Hsu Tetsuya Sato 48 114 0 24 May 2019
Subsampled Rényi Differential Privacy and Analytical Moments Accountant Yu Wang Borja Balle S. Kasiviswanathan 71 398 0 31 Jul 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences Borja Balle Gilles Barthe Marco Gaboardi 79 387 0 04 Jul 2018
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising Borja Balle Yu Wang MLT 66 403 0 16 May 2018
Renyi Differential Privacy Ilya Mironov 77 1,253 0 24 Feb 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 191 6,109 0 01 Jul 2016
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 84 831 0 06 May 2016
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo Yu Wang S. Fienberg Alex Smola 57 248 0 26 Feb 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 92 1,987 0 25 Jul 2014
Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds Raef Bassily Adam D. Smith Abhradeep Thakurta FedML 130 371 0 27 May 2014
The Composition Theorem for Differential Privacy Peter Kairouz Sewoong Oh Pramod Viswanath 104 679 0 04 Nov 2013
Rényi Divergence and Kullback-Leibler Divergence T. Erven P. Harremoes 79 1,334 0 12 Jun 2012
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 102 485 0 16 Nov 2008