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Theoretical Foundations of Adversarial Binary Detection (Paperback)
Loot Price: R2,359
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Theoretical Foundations of Adversarial Binary Detection (Paperback)
Series: Foundations and Trends (R) in Communications and Information Theory
Expected to ship within 10 - 15 working days
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Binary detection is a ubiquitous problem in virtually all branches
of science and technology. In many cases, binary detection must be
carried out in a setting wherein the presence of an adversary
aiming at inducing a wrong decision cannot be ruled out.
Applications include network monitoring, spam filtering, multimedia
forensics, video surveillance and biometric authentication to name
but a few. In these cases, the attack is carried out at the time of
testing. With the advent of widespread machine learning tools, the
attacker can act during the learning phase, making it harder to
detect. The main idea behind adversarial detection theory is to
cast the detection problem into a game-theoretic framework. This
allows the goals and the actions available to the two contenders to
be rigorously defined. In this monograph, the authors address
several variants of a general adversarial binary detection problem,
depending on the knowledge available to the Defender and the
Attacker of the statistical characterization of a system. They lead
the reader through the considerations and solutions under two
hypotheses, using a framework that can be adopted in many
applications. This monograph, aimed at students, researchers and
practitioners working in the application areas who want an
accessible introduction to the theory behind Adversarial Binary
Detection and the possible solutions to their particular problem.
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