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DSS

model1 events
papersTODAY 04:00 UTC

Dynamic Semantic Steering Approach Targets Concept Erasure in Diffusion Models

A new arXiv paper proposes DSS, a method for removing unwanted concepts from text-to-image diffusion models. The approach steers the model's internal semantic representations dynamically rather than relying on static interventions, aiming to make erasure more robust against adversarial prompts. The work targets safety concerns such as generated NSFW material or copyrighted content.