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Fengyuan Miao

2 accepted papers

2026

Orthogonal Concept Erasure for Diffusion Models

ICML 2026oral

Concept erasure has emerged as a promising approach to mitigate undesired or unsafe content in diffusion models, yet existing methods still face significant limitations. While training-based methods are effective, their high computational cost limits scalability. Editing-based methods are more effic…

Cited by 0SourceScholar
2026

SDErasure: Concept-Specific Trajectory Shifting for Concept Erasure via Adaptive Diffusion Classifier

ICLR 2026poster

Concept erasure methods have proven effective in mitigating the potential for text‑to‑image diffusion models to produce harmful content. Nevertheless, prevailing methods based on post fine-tuning introduce substantial disruption to the original model’s parameter distribution and suffer from excessiv…

Cited by 0SourceScholar