Generating Privacy-Preserving Synthetic Tabular Data Using Oblivious Variational Autoencoders

ICML Workshop on Economics of Privacy and Data Labor

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Bibliographic Details
Main Authors: STANLEY KOK, LAKKAMANENI VIVEK HARSHA VARDHAN
Other Authors: DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS
Format: Conference or Workshop Item
Published: 2020
Online Access:https://scholarbank.nus.edu.sg/handle/10635/171694
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1716942024-04-05T02:38:57Z Generating Privacy-Preserving Synthetic Tabular Data Using Oblivious Variational Autoencoders STANLEY KOK LAKKAMANENI VIVEK HARSHA VARDHAN DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS ICML Workshop on Economics of Privacy and Data Labor 2020-07-24T07:28:42Z 2020-07-24T07:28:42Z 2020-07-18 2020-07-23T09:31:16Z Conference Paper STANLEY KOK, LAKKAMANENI VIVEK HARSHA VARDHAN (2020-07-18). Generating Privacy-Preserving Synthetic Tabular Data Using Oblivious Variational Autoencoders. ICML Workshop on Economics of Privacy and Data Labor. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/171694 Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description ICML Workshop on Economics of Privacy and Data Labor
author2 DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS
author_facet DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS
STANLEY KOK
LAKKAMANENI VIVEK HARSHA VARDHAN
format Conference or Workshop Item
author STANLEY KOK
LAKKAMANENI VIVEK HARSHA VARDHAN
spellingShingle STANLEY KOK
LAKKAMANENI VIVEK HARSHA VARDHAN
Generating Privacy-Preserving Synthetic Tabular Data Using Oblivious Variational Autoencoders
author_sort STANLEY KOK
title Generating Privacy-Preserving Synthetic Tabular Data Using Oblivious Variational Autoencoders
title_short Generating Privacy-Preserving Synthetic Tabular Data Using Oblivious Variational Autoencoders
title_full Generating Privacy-Preserving Synthetic Tabular Data Using Oblivious Variational Autoencoders
title_fullStr Generating Privacy-Preserving Synthetic Tabular Data Using Oblivious Variational Autoencoders
title_full_unstemmed Generating Privacy-Preserving Synthetic Tabular Data Using Oblivious Variational Autoencoders
title_sort generating privacy-preserving synthetic tabular data using oblivious variational autoencoders
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/171694
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