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Hui-Qin Yang

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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. · 0 citations

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