English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Optimal Spamming: Solving a Family of Adversarial Classification Games

MPS-Authors
/persons/resource/persons44190

Brückner,  Michael
Machine Learning, MPI for Informatics, Max Planck Society;

/persons/resource/persons45377

Scheffer,  Tobias
Machine Learning, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Brückner, M., & Scheffer, T. (2007). Optimal Spamming: Solving a Family of Adversarial Classification Games. In Proceedings of NIPS 2007 Workshop on Machine Learning in Adversarial Environments for Computer Security (pp. 1-2). La Jolla, CA: NIPS Foundation.


Cite as: https://hdl.handle.net/11858/00-001M-0000-001A-09E0-8
Abstract
There is no abstract available