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Machine learning classifiers are increasingly popular for security applications, and often achieve outstanding performance in testing. When deployed, however, classifiers can be thwarted by motivated adversaries who adaptively construct adversarial examples that exploit flaws in the classifier's model.
Jefferson's Wheel " Adversarial Machine Learning 
Added 7 months ago by Francis Tseng
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Jefferson's Wheel " Adversarial Machine Learning 
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Machine learning classifiers are increasingly popular for security applications, and often achieve outstanding performance in testing. When deployed, however, classifiers can be thwarted by motivated adversaries who adaptively construct adversarial examples that exploit flaws in the classifier's model.
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