An Analysis of the Deployment of Models Trained on Private Tabular
Synthetic Data: Unexpected Surprises

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises

15 June 2021

Meghana Kshirsagar

Soumendu Sundar Mukherjee

Papers citing "An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises"

10 / 10 papers shown

Title
FFPDG: Fast, Fair and Private Data Generation Weijie Xu Jinjin Zhao Francis Iannacci Bo Wang 53 11 0 30 Jun 2023
U.S. Broadband Coverage Data Set: A Differentially Private Data Release Mayana Pereira Allen Kim Joshua Allen Kevin White J. L. Ferres Rahul Dodhia 41 12 0 24 Mar 2021
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary Jean-Francois Rajotte Soumendu Sundar Mukherjee Caleb Robinson Anthony Ortiz Christopher West J. L. Ferres R. Ng FedML MedIm 149 41 0 18 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 279 494 0 31 Dec 2020
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning Joseph Paul Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio ... A. Abbasi M. Hoshmand-Kochi Marzyeh Ghassemi Haifang Li T. Duong 56 224 0 24 May 2020
Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1) A. Aktay S. Bavadekar Gwen Cossoul John Davis Damien Desfontaines ... Swapnil Vispute Mia Vu G. Wellenius Brian Williams Royce J. Wilson 27 545 0 08 Apr 2020
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 103 1,246 0 01 Jul 2019
ProPublica's COMPAS Data Revisited M. Barenstein FaML 42 51 0 11 Jun 2019
Differential Privacy Has Disparate Impact on Model Accuracy Eugene Bagdasaryan Vitaly Shmatikov 137 480 0 28 May 2019
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 191 6,109 0 01 Jul 2016