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Adversarial Signal Processing and The Hypothesis Testing Game

Dept. of Computer Science (May 23, 2017)

SEMINAR SERIES : Distinguished Lecture

MAJOR SPEAKER : Barni, Mauro
LENGTH : 68 min.
ACCESS : Open to all
SUMMARY : Security-oriented applications of signal processing have received increasing attention in the last years. Digital watermarking, steganography and steganalysis, multimedia forensics, biometric security, are just a few examples of such an interest. In many cases, though, researchers have failed to recognize the single most unique feature behind any security-oriented application, i.e. the presence of one or more adversaries aiming at making the system fail. One of the most evident consequences is that security requirements are misunderstood, e.g. quite often security is exchanged for robustness. Even when the need to cope with the actions of a malevolent adversary is taken into account, the proposed solutions are often ad-hoc, failing to provide a unifying view of the challenges that such scenarios pose from a signal processing perspective. Times are ripe to go beyond this limited view and lay the basis for a general theory that takes into account the impact that the presence of an adversary has on the design of effective signal processing tools, i.e. a theory of adversarial signal processing. It is the aim of this talk to: i) motivate the need for the development of a general theory of adversarial signal processing; ii) propose a unifying framework based on game-theory; iii) present some recent results regarding adversarial hypothesis testing.  [Go to the full record in the library's catalogue]

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