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where (\phi_k(\theta)\in-1,+1) is a pre‑computed derived from the key’s effect on the embedding’s noise pattern (learned offline via regression on synthetic data).
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encourages the network to map clean vs stego versions of the same image to distant points while preserving intra‑class cohesion: