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cs.CV2026
GRACE: Adaptive Concept Erasure with Geometry-Guided Retention in Diffusion Models
Qinghui Gong, Yihuai Liang, Yuanlun Xie +3
Text-to-image (T2I) diffusion models inevitably internalize sensitive or non-compliant concepts from large-scale pretraining data, necessitating post-hoc concept erasure. However,…
cs.CV2026
Gaussian Core LoRA: Distribution-Aware Dynamic Adaptation for Broad Concept Erasure
Qinghui Gong, Xunlei Chen, Yu-Xuan Zhang +2
Concept erasure aims to suppress unsafe, privacy-sensitive, or undesirable generations in text-to-image diffusion models while preserving benign semantics, visual quality, and depl…
cs.CV2026
DSS: Dynamic Semantic Steering for Robust Concept Erasure in Diffusion Models
Qinghui Gong, Zhengchun Zhou, Hua Meng +2
Text-to-image (T2I) diffusion models have introduced new security risks, as adversaries can exploit flexible text prompts to induce the generation of sensitive or policy-violating…