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1 introduction pattern classification systems based on machine learning algorithms are commonly used in security-related applications like biometric authentication, network intrusion detection, and spam filtering, to discriminate between a “legitimate” and a “malicious” pattern class (e.g., legitimate and spam emails). contrary to traditional ones, these applications have an intrinsic adversarial nature since the input data can be purposely manipulated by an intelligent and adaptive adversary to undermine classifier operation.
మీ langage పూర్తి వాక్యం టైప్
Last Update: 2014-10-25
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