Differentially Private Generative Adversarial Networks for Time Series,
Continuous, and Discrete Open Data

Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data

8 January 2019

Lorenzo Frigerio

Anderson Santana de Oliveira

Patrick Duverger

Papers citing "Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data"

17 / 17 papers shown

Title
NetDPSyn: Synthesizing Network Traces under Differential Privacy Danyu Sun Joann Qiongna Chen Chen Gong Tianhao Wang Zhou Li 52 1 0 08 Sep 2024
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information Quan Yuan Zhikun Zhang L. Du Min Chen Peng Cheng Mingyang Sun 20 19 0 05 Apr 2023
30 Years of Synthetic Data Joerg Drechsler Anna Haensch 30 15 0 04 Apr 2023
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 27 19 0 21 Nov 2022
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model Haiming Wang Zhikun Zhang Tianhao Wang Shibo He Michael Backes Jiming Chen Yang Zhang 38 35 0 02 Oct 2022
Differential Privacy: What is all the noise about? Roxana Dánger Mercaderes 35 3 0 19 May 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 47 18 0 05 Feb 2022
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence Tianshi Cao Alex Bie Arash Vahdat Sanja Fidler Karsten Kreis SyDa DiffM 13 71 0 01 Nov 2021
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data Georgi Ganev Bristena Oprisanu Emiliano De Cristofaro 37 57 0 23 Sep 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 19 71 0 04 Jul 2021
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges Ninghui Li Zhikun Zhang Tianhao Wang 13 17 0 24 Jun 2021
Kamino: Constraint-Aware Differentially Private Data Synthesis Chang Ge Shubhankar Mohapatra Xi He Ihab F. Ilyas SyDa 23 44 0 31 Dec 2020
Private Post-GAN Boosting Marcel Neunhoeffer Zhiwei Steven Wu Cynthia Dwork 116 29 0 23 Jul 2020
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking Darren Edge Weiwei Yang Kate Lytvynets Harry Cook Claire Galez-Davis Hannah Darnton Christopher M. White 15 6 0 12 May 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
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019