Preprint
Aug 2026
FIDA: Feature Instability-Driven Attack on Self-Supervised Facial Representation
FIDA (Feature Instability-Driven Attack), a novel backdoor attack framework that uses subtle semantic triggers for injection, but its key innovation is a novel objective called Feature Instability Loss, which effectively evades the evaluated perturbation-based defenses.
Zhi-Yang Chen, Changchun Yin, Hui-Qin Yang et al.
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