File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

박새롬

Park, Saerom
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace UK -
dc.citation.conferencePlace LONDON -
dc.citation.title Deep Learning Day - KDD 2018 -
dc.contributor.author Lee, Sungyoon -
dc.contributor.author Park, Saerom -
dc.contributor.author Lee, Jaewook -
dc.date.accessioned 2024-02-01T01:37:11Z -
dc.date.available 2024-02-01T01:37:11Z -
dc.date.created 2023-05-30 -
dc.date.issued 2018-08-20 -
dc.identifier.bibliographicCitation Deep Learning Day - KDD 2018 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/81032 -
dc.identifier.url https://www.kdd.org/kdd2018/deep-learning-day -
dc.publisher KDD 2018 Deep Learning Day workshop -
dc.title Defensive denoising methods against adversarial attack -
dc.type Conference Paper -
dc.date.conferenceDate 2018-08-20 -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.