Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/171694
Title: | Generating Privacy-Preserving Synthetic Tabular Data Using Oblivious Variational Autoencoders | Authors: | STANLEY KOK LAKKAMANENI VIVEK HARSHA VARDHAN |
Issue Date: | 18-Jul-2020 | Citation: | 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. | Source Title: | ICML Workshop on Economics of Privacy and Data Labor | URI: | https://scholarbank.nus.edu.sg/handle/10635/171694 |
Appears in Collections: | Staff Publications Elements |
Show full item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
ICMLEcoPaDLcamerareadypaper.pdf | 644.75 kB | Adobe PDF | OPEN | None | View/Download |
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.