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Pattern Recognition Systems under Attack
[chapter]
2013
Lecture Notes in Computer Science
We analyze the problem of designing pattern recognition systems in adversarial settings, under an engineering viewpoint, motivated by their increasing exploitation in security-sensitive applications like spam and malware detection, despite their vulnerability to potential attacks has not yet been deeply understood. We first review previous work and report examples of how a complex system may be evaded either by leveraging on trivial vulnerabilities of its untrained components, e.g., parsing
doi:10.1007/978-3-642-41822-8_1
fatcat:6wbtsbfdv5dd7ity24yuwnppse