On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3266168
Abstract: Combining multiple classifiers is a promising approach to hardening forensic detectors against adversarial evasion attacks. The key idea is that an attacker must fool all individual classifiers to evade detection. The 1.5C classifier is one… read more here.
Keywords: classifier; spam; spam feature; security ... See more keywords