SIGN IN
SIGN UP
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Full Text:
PDF
Buy this Article
Authors:
Benjamin I.P. Rubinstein
University of California - Berkeley, Berkeley, CA, USA
Blaine Nelson
University of California - Berkeley, Berkeley, CA, USA
Ling Huang
Intel Labs Berkeley, Berkeley, CA, USA
Anthony D. Joseph
University of California - Berkeley, and Intel Labs Berkeley, Berkeley, CA, USA
Shing-hon Lau
University of California - Berkeley, Berkeley, CA, USA
Satish Rao
University of California - Berkeley, Berkeley, CA, USA
Nina Taft
Intel Labs Berkeley, Berkeley, CA, USA
J. D. Tygar
University of California - Berkeley, Berkeley, CA, USA
2009 Article
Bibliometrics
· Downloads (6 Weeks): 9
· Downloads (12 Months): 48
· Downloads (cumulative): 450
· Citation Count: 12
Published in:
· Proceeding
IMC '09
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Pages 1-14
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-771-4
doi>
10.1145/1644893.1644895
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
IMC'13
Share:
|
Tags:
adversarial learning
measurement
modeling techniques
network traffic analysis
performance
principal components analysis
robust statistics
security
security and protection
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder