most citedAdversarial Learning: A Critical Review and Active Learning Study

6 citations · 9 across the 2 of their papers we have counts for

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cs.CR2018★ 3 cited

A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters

David J. Miller, Xinyi Hu, Zhen Xiang +1

Naive Bayes spam filters are highly susceptible to data poisoning attacks. Here, known spam sources/blacklisted IPs exploit the fact that their received emails will be treated as (…

cs.CR2017★ 6 cited

Adversarial Learning: A Critical Review and Active Learning Study

David J. Miller, Xinyi Hu, Zhicong Qiu +1

This papers consists of two parts. The first is a critical review of prior art on adversarial learning, identifying some significant limitations of previous works. The second part…