Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection

21 August 2019

Papers citing "Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection"

8 / 8 papers shown

Title
M^4I: Multi-modal Models Membership Inference Pingyi Hu Zihan Wang Ruoxi Sun Hu Wang Minhui Xue 37 26 0 15 Sep 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 16 26 0 03 Jun 2022
A Novel Generator with Auxiliary Branch for Improving GAN Performance Seung-won Park Y. Shin 16 7 0 30 Dec 2021
Generative Convolution Layer for Image Generation Seung-won Park Y. Shin 16 11 0 30 Nov 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 28 412 0 14 Mar 2021
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 28 17 0 27 May 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 187 358 0 24 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 264 10,344 0 12 Dec 2018