PPGAN: Privacy-preserving Generative Adversarial Network

4 October 2019

Papers citing "PPGAN: Privacy-preserving Generative Adversarial Network"

33 / 33 papers shown

Title
From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis Kecen Li Chen Gong Xiaochen Li Yuzhong Zhao Xinwen Hou Tianhao Wang 36 1 0 02 Apr 2025
Exactly Minimax-Optimal Locally Differentially Private Sampling Hyun-Young Park Shahab Asoodeh Si-Hyeon Lee 24 1 0 30 Oct 2024
Harnessing Federated Generative Learning for Green and Sustainable Internet of Things Yuanhang Qi M. Hossain 45 7 0 30 Apr 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 29 28 0 20 Mar 2024
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting Rong Dai Yonggang Zhang Ang Li Tongliang Liu Xun Yang Bo Han FedML 74 12 0 23 Feb 2024
Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records Navid Ashrafi Vera Schmitt R. Spang Sebastian Möller Jan-Niklas Voigt-Antons SyDa 21 7 0 21 Feb 2024
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection Lucas Lange Nils Wenzlitschke Erhard Rahm 16 7 0 24 Jan 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift Shengwei An Sheng-Yen Chou Kaiyuan Zhang Qiuling Xu Guanhong Tao ... Shuyang Cheng Shiqing Ma Pin-Yu Chen Tsung-Yi Ho Xiangyu Zhang DiffM AAML 23 28 0 27 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 17 1 0 06 Nov 2023
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining Kecen Li Chen Gong Zhixiang Li Yuzhong Zhao Xinwen Hou Tianhao Wang 25 10 0 19 Oct 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey Lea Demelius Roman Kern Andreas Trügler SyDa FedML 32 6 0 28 Sep 2023
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review Katariina Perkonoja Kari Auranen Joni Virta SyDa 19 3 0 21 Sep 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art Tanujit Chakraborty Ujjwal Reddy K S Shraddha M. Naik Madhurima Panja B. Manvitha 27 61 0 30 Aug 2023
SoK: Privacy-Preserving Data Synthesis Yuzheng Hu Fan Wu Q. Li Yunhui Long Gonzalo Munilla Garrido Chang Ge Bolin Ding David A. Forsyth Bo-wen Li D. Song 52 25 0 05 Jul 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review Mathias Lundteigen Mohus Jinyue Li AAML 19 1 0 01 Jun 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images Sahra Ghalebikesabi Leonard Berrada Sven Gowal Ira Ktena Robert Stanforth Jamie Hayes Soham De Samuel L. Smith Olivia Wiles Borja Balle DiffM 23 69 0 27 Feb 2023
Mask Conditional Synthetic Satellite Imagery Van Anh Le Varshini Reddy Zixi Chen Mengyuan Li Xinran Tang Anthony Ortiz Simone Fobi Nsutezo Caleb Robinson 11 3 0 08 Feb 2023
Machine Learning for Synthetic Data Generation: A Review Ying-Cheng Lu Minjie Shen Huazheng Wang Xiao Wang Capucine Van Rechem Tianfan Fu Wenqi Wei SyDa 33 140 0 08 Feb 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 38 0 0 03 Jan 2023
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder Bjarne Pfitzner B. Arnrich FedML 19 19 0 21 Nov 2022
Federated Split GANs P. Kortoçi Yilei Liang Pengyuan Zhou Lik-Hang Lee Abbas Mehrabi Pan Hui Sasu Tarkoma Jon Crowcroft FedML 22 7 0 04 Jul 2022
Generative Models with Information-Theoretic Protection Against Membership Inference Attacks Parisa Hassanzadeh R. E. Tillman 16 1 0 31 May 2022
Time-series Transformer Generative Adversarial Networks Padmanaba Srinivasan William J. Knottenbelt AI4TS 21 13 0 23 May 2022
DENSE: Data-Free One-Shot Federated Learning Jie M. Zhang Chen Chen Bo-wen Li Lingjuan Lyu Shuang Wu Shouhong Ding Chunhua Shen Chao Wu FedML DD 24 103 0 23 Dec 2021
HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation Chance N. DeSmet D. Cook 23 0 0 13 Nov 2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications Zhipeng Cai Zuobin Xiong Honghui Xu Peng-Shuai Wang Wei Li Yi-Lun Pan 19 139 0 07 Jun 2021
Causally Constrained Data Synthesis for Private Data Release Varun Chandrasekaran Darren Edge S. Jha Amit Sharma Cheng Zhang Shruti Tople SyDa 6 3 0 27 May 2021
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia Longling Zhang Bochen Shen A. Barnawi Shan Xi Neeraj Kumar Yi Wu FedML MedIm 71 80 0 26 Apr 2021
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things Yi Liu Ruihui Zhao Jiawen Kang A. Yassine Dusit Niyato Jia-Jie Peng FedML 69 35 0 08 Dec 2020
A GAN-based Approach for Mitigating Inference Attacks in Smart Home Environment Olakunle Ibitoye Ashraf Matrawy Omair Shaﬁq AAML 6 0 0 13 Nov 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 13 286 0 30 Apr 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks E. Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 147 569 0 19 Mar 2017