Coping with the enemy: Advances in adversary-aware signal processing
Mauro Barni, Fernando Pérez‐González · 2013
This paper is a first attempt to provide a unified framework for studying signal processing problems where designers have to cope with the presence of an adversary, including media forensics, watermarking, adversarial machine learning, biometric spoofing, etc. We focus on the binary decision problem and discuss which strategies the adversary can use to flip the decision output at minimal cost, including blind sensitivity attacks and hill-climbing attacks. As the defender can also play smarter by considering the presence of a rational adversary, we introduce a game-theoretic approach where some advances have been recently made. We conclude by discussing some trends raised by this game-theoretic formulation.