Optimal Accounting of Differential Privacy via Characteristic Function

16 June 2021

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

21 / 71 papers shown

Title
Differentially Private Optimization on Large Model at Small Cost Zhiqi Bu Yu Wang Sheng Zha George Karypis 45 52 0 30 Sep 2022
Individual Privacy Accounting with Gaussian Differential Privacy A. Koskela Marlon Tobaben Antti Honkela 47 18 0 30 Sep 2022
The Saddle-Point Accountant for Differential Privacy Wael Alghamdi S. Asoodeh Flavio du Pin Calmon Juan Felipe Gomez O. Kosut Lalitha Sankar Fei Wei 43 7 0 20 Aug 2022
Faster Privacy Accounting via Evolving Discretization Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi 75 14 0 10 Jul 2022
Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions Vadym Doroshenko Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi 36 40 0 10 Jul 2022
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime Wael Alghamdi S. Asoodeh Flavio du Pin Calmon O. Kosut Lalitha Sankar Fei Wei 21 8 0 25 Jun 2022
Shuffle Gaussian Mechanism for Differential Privacy Seng Pei Liew Tsubasa Takahashi FedML 34 2 0 20 Jun 2022
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger Zhiqi Bu Yu Wang Sheng Zha George Karypis 37 69 0 14 Jun 2022
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy Jordan Awan Jinshuo Dong 17 9 0 09 Jun 2022
Analytical Composition of Differential Privacy via the Edgeworth Accountant Hua Wang Sheng-yang Gao Huanyu Zhang Milan Shen Weijie J. Su FedML 36 21 0 09 Jun 2022
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations Mirian Hipolito Garcia Andre Manoel Daniel Madrigal Diaz Fatemehsadat Mireshghallah Robert Sim Dimitrios Dimitriadis FedML 27 57 0 25 Mar 2022
Fully Adaptive Composition in Differential Privacy Justin Whitehouse Aaditya Ramdas Ryan M. Rogers Zhiwei Steven Wu 19 40 0 10 Mar 2022
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism Brian Karrer Daniel Kifer Arjun S. Wilkins Danfeng Zhang 22 4 0 02 Feb 2022
DP-FP: Differentially Private Forward Propagation for Large Models Jian Du Haitao Mi 29 5 0 29 Dec 2021
Dynamic Differential-Privacy Preserving SGD Jian Du Song Li Xiangyi Chen Siheng Chen Mingyi Hong 32 31 0 30 Oct 2021
A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index Georgios Kaissis Moritz Knolle F. Jungmann Alexander Ziller Dmitrii Usynin Daniel Rueckert 32 1 0 22 Sep 2021
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability Qiyiwen Zhang Zhiqi Bu Kan Chen Qi Long BDL UQCV 21 11 0 18 Jul 2021
Generalization in the Face of Adaptivity: A Bayesian Perspective Moshe Shenfeld Katrina Ligett 19 4 0 20 Jun 2021
Numerical Composition of Differential Privacy Sivakanth Gopi Y. Lee Lukas Wutschitz 19 173 0 05 Jun 2021
Tight Accounting in the Shuffle Model of Differential Privacy A. Koskela Mikko A. Heikkilä Antti Honkela FedML 17 17 0 01 Jun 2021
Proactive DP: A Multple Target Optimization Framework for DP-SGD Marten van Dijk Nhuong V. Nguyen Toan N. Nguyen Lam M. Nguyen Phuong Ha Nguyen 30 0 0 17 Feb 2021