Security Evaluation of Pattern Classifiers under Attack

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 c...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2014-04, Vol.26 (4), p.984-996
Hauptverfasser:	Biggio, Battista, Fumera, Giorgio, Roli, Fabio
Format:	Artikel
Sprache:	eng
Schlagworte:	adversarial classification Algorithm design and analysis Analytical models Data models Pattern classification Performance evaluation robustness evaluation Security security evaluation Testing Training
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