This is an old revision of this page, as edited by Dave44000(talk | contribs) at 12:08, 17 October 2016(Adversarial machine learning needs its own topic referring to this topic about a specific application of adversarial machine learning.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.Revision as of 12:08, 17 October 2016 by Dave44000(talk | contribs)(Adversarial machine learning needs its own topic referring to this topic about a specific application of adversarial machine learning.)
This article is within the scope of WikiProject Computer science, a collaborative effort to improve the coverage of Computer science related articles on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.Computer scienceWikipedia:WikiProject Computer scienceTemplate:WikiProject Computer scienceComputer science
This article is within the scope of WikiProject Statistics, a collaborative effort to improve the coverage of statistics on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.StatisticsWikipedia:WikiProject StatisticsTemplate:WikiProject StatisticsStatistics
This article has been rated as Low-importance on the importance scale.
Citation overkill
I removed a slew of references from the first sentence because it's not a controversial statement. This broke some references by name, which some bot will surely come and fix in a short while. More generally, I think this article has too many references per statement, and could do with some trimming so that only the best/most cited (pick any one) remain. QVVERTYVS (hm?) 09:23, 15 January 2015 (UTC)[reply]
The first sentence makes it clear that this article is about the security applications of adversarial machine learning, not adversarial machine learning itself. This article should be linked to by a topic exclusively on adversarial machine learning. Adversarial machine learning tunes it's learning to precise learning rather than average learning. It optimizes relative to a minimax value of the game approach. I've only read one story about adversarial machine learning, but this article does not tell me anything about it outside of security applications. I am not an expert on this at all, but adversarial machine learning has many applications beyond security. Dave44000 (talk) 12:08, 17 October 2016 (UTC)[reply]