2013 | OriginalPaper | Buchkapitel
Pattern Recognition Systems under Attack
verfasst von : Fabio Roli, Battista Biggio, Giorgio Fumera
Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Verlag: Springer Berlin Heidelberg
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Pattern recognition systems have been increasingly used in security applications, although it is known that carefully crafted attacks can compromise their security. We advocate that simulating a proactive arms race is crucial to identify the most relevant vulnerabilities of pattern recognition systems, and to develop countermeasures in advance, thus improving system security. We summarize a framework we recently proposed for designing proactive secure pattern recognition systems and review its application to assess the security of biometric recognition systems against poisoning attacks.