Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/171694
| DC Field | Value | |
|---|---|---|
| dc.title | Generating Privacy-Preserving Synthetic Tabular Data Using Oblivious Variational Autoencoders | |
| dc.contributor.author | STANLEY KOK | |
| dc.contributor.author | LAKKAMANENI VIVEK HARSHA VARDHAN | |
| dc.date.accessioned | 2020-07-24T07:28:42Z | |
| dc.date.available | 2020-07-24T07:28:42Z | |
| dc.date.issued | 2020-07-18 | |
| dc.identifier.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. | |
| dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/171694 | |
| dc.source | Elements | |
| dc.type | Conference Paper | |
| dc.date.updated | 2020-07-23T09:31:16Z | |
| dc.contributor.department | DEPARTMENT OF INFORMATION SYSTEMS AND ANALYTICS | |
| dc.description.sourcetitle | ICML Workshop on Economics of Privacy and Data Labor | |
| dc.published.state | Published | |
| Appears in Collections: | Staff Publications Elements | |
Show simple 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.