Individual Privacy Accounting with Gaussian Differential Privacy

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Individual Privacy Accounting with Gaussian Differential Privacy

International Conference on Learning Representations (ICLR), 2022

30 September 2022

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Papers citing "Individual Privacy Accounting with Gaussian Differential Privacy"

14 / 14 papers shown

Title
Private-RAG: Answering Multiple Queries with LLMs while Keeping Your Data Private Ruihan Wu Erchi Wang Zhiyuan Zhang Yu-Xiang Wang SILM 244 0 0 10 Nov 2025
Accuracy-First Rényi Differential Privacy and Post-Processing Immunity Ossi Raisa A. Koskela Antti Honkela 93 0 0 26 Sep 2025
DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion ModelsIEEE International Conference on Document Analysis and Recognition (ICDAR), 2025 S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed SyDa 137 0 0 06 Aug 2025
Gaussian DP for Reporting Differential Privacy Guarantees in Machine Learning Juan Felipe Gomez B. Kulynych G. Kaissis Jamie Hayes Jamie Hayes Borja Balle Antti Honkela 392 0 0 13 Mar 2025
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models Qin Yang Meisam Mohammady Han Wang Ali Payani Ashish Kundu Kai Shu Yan Yan Yuan Hong 265 2 0 29 May 2024
Privacy Amplification for the Gaussian Mechanism via Bounded Support Shengyuan Hu Saeed Mahloujifar Virginia Smith Kamalika Chaudhuri Chuan Guo FedML 209 1 0 07 Mar 2024
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 313 1 0 06 Nov 2023
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 172 1 0 05 Oct 2023
Personalized Privacy Amplification via Importance Sampling Dominik Fay Sebastian Mair Jens Sjölund 354 0 0 05 Jul 2023
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGDUSENIX Security Symposium (USENIX Security), 2023 Anvith Thudi Hengrui Jia Casey Meehan Ilia Shumailov Nicolas Papernot 441 11 0 01 Jul 2023
Personalized DP-SGD using Sampling Mechanisms Geon Heo Junseok Seo Steven Euijong Whang 193 3 0 24 May 2023
Fully Adaptive Composition for Gaussian Differential Privacy Adam D. Smith Abhradeep Thakurta 255 6 0 31 Oct 2022
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent Da Yu Gautam Kamath Janardhan Kulkarni Tie-Yan Liu Jian Yin Huishuai Zhang 528 24 0 06 Jun 2022
Fully Adaptive Composition in Differential PrivacyInternational Conference on Machine Learning (ICML), 2022 Justin Whitehouse Aaditya Ramdas Ryan M. Rogers Zhiwei Steven Wu 341 46 0 10 Mar 2022