English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
EndNote (UTF-8)
 
DownloadE-Mail
  A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation

Shetty, R., Schiele, B., & Fritz, M. (2018). A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation. In Proceedings of the 27th USENIX Security Symposium (pp. 1633-1650). USENIX Association.

Item is

Basic

hide
Genre: Conference Paper
Latex : $A^{4}NT$: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation
Other : A^4NT

Files

hide Files
:
arXiv:1711.01921.pdf (Preprint), 745KB
 
File Permalink:
-
Name:
arXiv:1711.01921.pdf
Description:
File downloaded from arXiv at 2017-11-09 08:02
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
:
sec18-shetty.pdf (Publisher version), 2MB
Name:
sec18-shetty.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
Open Access
License:
-

Locators

show

Creators

hide
 Creators:
Shetty, Rakshith1, Author           
Schiele, Bernt1, Author                 
Fritz, Mario1, Author           
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              

Content

show

Details

hide
Language(s): eng - English
 Dates: 2018
 Publication Status: Published online
 Pages: 19 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: shetty_USENIX2018
 Degree: -

Event

hide
Title: 27th USENIX Security Symposium
Place of Event: Baltimore, MD, USA
Start-/End Date: 2018-08-15 - 2018-08-17

Legal Case

show

Project information

show

Source 1

hide
Title: Proceedings of the 27th USENIX Security Symposium
  Abbreviation : USENIX Security 2018
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: USENIX Association
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1633 - 1650 Identifier: ISBN: 978 -1- 931971- 4 6 -1