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Machine learning in adversarial environments
2010
Machine Learning
Whenever machine learning is used to prevent illegal or unsanctioned activity and there is an economic incentive, adversaries will attempt to circumvent the protection provided. Constraints on how adversaries can manipulate training and test data for classifiers used to detect suspicious behavior make problems in this area tractable and interesting. This special issue highlights papers that span many disciplines including email spam detection, computer intrusion detection, and detection of web
doi:10.1007/s10994-010-5207-6
fatcat:653z5mltdffnjf6kumh6ss4g4a