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Redefining cross-modal fusion at the prototype level, ProtoHGF-Net significantly enhances target detection by suppressing background noise.
Freezing a Sparse Autoencoder's encoder creates a reusable "safety dictionary" that generalizes to new risks in text-to-image diffusion models, offering a more robust alternative to fixed-layer steering.
