Adversarial Learning: A Critical Review and Active Learning Study
classification
💻 cs.CR
keywords
learningadversarialactivecriticalreviewadversaryattemptsclassifier
read the original abstract
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 is an experimental study considering adversarial active learning and an investigation of the efficacy of a mixed sample selection strategy for combating an adversary who attempts to disrupt the classifier learning.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.