DP-CGAN: Differentially Private Synthetic Data and Label Generation

27 January 2020

Reihaneh Torkzadehmahani

Papers citing "DP-CGAN: Differentially Private Synthetic Data and Label Generation"

42 / 42 papers shown

Title
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage Rui Xin Niloofar Mireshghallah Shuyue Stella Li Michael Duan Hyunwoo Kim Yejin Choi Yulia Tsvetkov Sewoong Oh Pang Wei Koh 76 3 0 28 Apr 2025
Transfer Learning with Pre-trained Conditional Generative Models Shin'ya Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 148 5 0 21 Feb 2025
Privacy Vulnerabilities in Marginals-based Synthetic Data Steven Golob Sikha Pentyala Anuar Maratkhan Martine De Cock 26 3 0 07 Oct 2024
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 39 0 0 03 Oct 2024
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation Shiming Ge Bochao Liu Pengju Wang Yong Li Dan Zeng FedML 44 9 0 04 Sep 2024
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation Anantaa Kotal Brandon Luton Anupam Joshi 40 1 0 26 May 2024
Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report) Yongrui Zhong Yunqing Ge Jianbin Qin Yongrui Zhong Bo Tang Yu-Xuan Qiu Rui Mao Ye Yuan Makoto Onizuka Chuan Xiao 34 0 0 02 May 2024
PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy Zepeng Jiang Weiwei Ni Yifan Zhang PICV 21 1 0 19 Apr 2024
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 33 10 0 19 Oct 2023
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning S. Giddens F. Liu 38 1 0 19 Sep 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo Zhao Dacheng Tao VLM 32 19 0 17 Jul 2023
30 Years of Synthetic Data Joerg Drechsler Anna Haensch 30 15 0 04 Apr 2023
Coincidental Generation Jordan W. Suchow Necdet Gurkan 33 0 0 03 Apr 2023
MODIFY: Model-driven Face Stylization without Style Images Yuhe Ding Jian Liang Jie Cao A. Zheng Ran He CVBM 33 2 0 17 Mar 2023
PRIMO: Private Regression in Multiple Outcomes Seth Neel 25 0 0 07 Mar 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 35 69 0 27 Feb 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection B. V. Breugel Hao Sun Zhaozhi Qian M. Schaar 33 45 0 24 Feb 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 39 7 0 22 Feb 2023
Private GANs, Revisited Alex Bie Gautam Kamath Guojun Zhang 38 14 0 06 Feb 2023
Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control Tânia Carvalho Nuno Moniz Luís Antunes Nitesh V. Chawla 34 3 0 01 Dec 2022
On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation Yucong Liu ChiHua Wang Guang Cheng 29 7 0 28 Nov 2022
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder Bjarne Pfitzner B. Arnrich FedML 33 19 0 21 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry Gonzalo Munilla Garrido Xiaoyuan Liu Florian Matthes D. Song 28 24 0 07 Nov 2022
Private Set Generation with Discriminative Information Dingfan Chen Raouf Kerkouche Mario Fritz DD 30 34 0 07 Nov 2022
Differential Privacy: What is all the noise about? Roxana Dánger Mercaderes 38 3 0 19 May 2022
Statistical Data Privacy: A Song of Privacy and Utility Aleksandra B. Slavkovic Jeremy Seeman 23 26 0 06 May 2022
CTAB-GAN+: Enhancing Tabular Data Synthesis Zilong Zhao A. Kunar Robert Birke L. Chen 27 78 0 01 Apr 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks Xingjian Cao Gang Sun Hongfang Yu Mohsen Guizani FedML 27 56 0 18 Feb 2022
Differentially Private Generative Adversarial Networks with Model Inversion Dongjie Chen S. Cheung Chen-Nee Chuah Sally Ozonoff SyDa 21 13 0 10 Jan 2022
Benchmarking Differentially Private Synthetic Data Generation Algorithms Yuchao Tao Ryan McKenna Michael Hay Ashwin Machanavajjhala G. Miklau SyDa 33 83 0 16 Dec 2021
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 42 42 0 01 Dec 2021
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence Tianshi Cao Alex Bie Arash Vahdat Sanja Fidler Karsten Kreis SyDa DiffM 19 71 0 01 Nov 2021
DTGAN: Differential Private Training for Tabular GANs A. Kunar Robert Birke Zilong Zhao L. Chen 30 11 0 06 Jul 2021
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation Wei Ping Fan Wu Yunhui Long Luka Rimanic Ce Zhang Bo-wen Li FedML 45 63 0 20 Mar 2021
Differentially Private Query Release Through Adaptive Projection Sergul Aydore William Brown Michael Kearns K. Kenthapadi Luca Melis Aaron Roth Ankit Siva 45 64 0 11 Mar 2021
Kamino: Constraint-Aware Differentially Private Data Synthesis Chang Ge Shubhankar Mohapatra Xi He Ihab F. Ilyas SyDa 23 44 0 31 Dec 2020
Differentially Private Synthetic Data: Applied Evaluations and Enhancements Lucas Rosenblatt Xiao-Yang Liu Samira Pouyanfar Eduardo de Leon Anuj M. Desai Joshua Allen SyDa 21 64 0 11 Nov 2020
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models Yixi Xu Soumendu Sundar Mukherjee Xiyang Liu Shruti Tople Rahul Dodhia J. L. Ferres MIACV 27 11 0 11 Sep 2020
Private Post-GAN Boosting Marcel Neunhoeffer Zhiwei Steven Wu Cynthia Dwork 116 29 0 23 Jul 2020
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation Frederik Harder Kamil Adamczewski Mijung Park SyDa 25 101 0 26 Feb 2020
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators Yunhui Long Wei Ping Zhuolin Yang B. Kailkhura Aston Zhang C.A. Gunter Bo-wen Li 22 72 0 21 Jun 2019