Visual Privacy Auditing with Diffusion Models

12 March 2024

Papers citing "Visual Privacy Auditing with Diffusion Models"

6 / 6 papers shown

Title
Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging Alexander Ziller Tamara T. Mueller Simon Stieger Leonhard F. Feiner Johannes Brandt R. Braren Daniel Rueckert Georgios Kaissis 38 1 0 05 Dec 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 83 95 0 01 Mar 2023
Bounding Training Data Reconstruction in Private (Deep) Learning Chuan Guo Brian Karrer Kamalika Chaudhuri L. V. D. van der Maaten 92 47 0 28 Jan 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 196 770 0 27 Jan 2022
When the Curious Abandon Honesty: Federated Learning Is Not Private Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML AAML 62 143 0 06 Dec 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015