Security Evaluation of Pattern Classifiers under Attack

2 Sep 2017 Battista Biggio Giorgio Fumera Fabio Roli

Pattern classification systems are commonly used in adversarial applications, like biometric authentication, network intrusion detection, and spam filtering, in which data can be purposely manipulated by humans to undermine their operation. As this adversarial scenario is not taken into account by classical design methods, pattern classification systems may exhibit vulnerabilities, whose exploitation may severely affect their performance, and consequently limit their practical utility... (read more)

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