SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarking

ArXi:2603.12749v1 Announce Type: cross Watermarking the initial noise of diffusion models has emerged as a promising approach for image provenance, but content-independent noise patterns can be forged via inversion and regeneration attacks. Recent semantic-aware watermarking methods improve robustness by conditioning verification on image semantics. However, their reliance on a single global semantic binding makes them vulnerable to localized but globally coherent semantic edits.