PAC Privacy: Automatic Privacy Measurement and Control of Data Processing

7 October 2022

Papers citing "PAC Privacy: Automatic Privacy Measurement and Control of Data Processing"

9 / 9 papers shown

Title
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 40 0 0 14 Apr 2025
Disentangling data distribution for Federated Learning Xinyuan Zhao Hanlin Gu Lixin Fan Qiang Yang Yuxing Han OOD FedML 39 0 0 31 Dec 2024
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy Maryam Aliakbarpour Syomantak Chaudhuri T. Courtade Alireza Fallah Michael I. Jordan 33 0 0 24 Oct 2024
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning Coleman DuPlessie Aidan Gao 23 0 0 31 May 2024
A Split-and-Privatize Framework for Large Language Model Fine-Tuning Xicong Shen Yang Liu Huiqi Liu Jue Hong Bing Duan Zirui Huang Yunlong Mao Ye Wu Di Wu 65 11 0 25 Dec 2023
PAC Privacy Preserving Diffusion Models Qipan Xu Youlong Ding Xinxi Zhang Jie Gao Hao Wang DiffM 16 0 0 02 Dec 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa G. E. Suh 11 8 0 06 May 2023
Bounding Training Data Reconstruction in Private (Deep) Learning Chuan Guo Brian Karrer Kamalika Chaudhuri L. V. D. van der Maaten 110 53 0 28 Jan 2022
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 136 420 0 29 Nov 2018