How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models

17 February 2021

Papers citing "How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models"

8 / 108 papers shown

Title
Enabling Synthetic Data adoption in regulated domains Giorgio Visani Giacomo Graffi Mattia Alfero Enrico Bagli D. Capuzzo F. Chesani 8 7 0 13 Apr 2022
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis Gayathri R.G. Atul Sajjanhar Yong Xiang AAML 16 8 0 06 Mar 2022
AI-based Re-identification of Behavioral Clickstream Data S. Vamosi Michaela D. Platzer Thomas Reutterer CVBM 20 1 0 21 Jan 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 38 7 0 21 Jan 2022
Synthesising Electronic Health Records: Cystic Fibrosis Patient Group E. Muller Xu Zheng Jer Hayes 39 2 0 14 Jan 2022
SurvODE: Extrapolating Gene Expression Distribution for Early Cancer Identification Tong Chen Sheng Wang 12 0 0 30 Nov 2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks A. Saha Trent Kyono J. Linmans M. Schaar CML 35 105 0 25 Oct 2021
Hide-and-Seek Privacy Challenge James Jordon Daniel Jarrett Jinsung Yoon Tavian Barnes Paul Elbers P. Thoral A. Ercole Cheng Zhang Danielle Belgrave M. Schaar MIACV 6 24 0 23 Jul 2020