الباحثون

Xiaolong Ma

المنشورات 2

نسخة أولية وصول مفتوح

No Concept Escapes the Audit: Auditing-Aware Unlearning for Verifiable Concept Erasure in Diffusion Models

Kaiyuan Deng, Yuchen Li, Gen Li وآخرون · 2026

Text-to-image diffusion models can generate prohibited content, which motivates concept erasure through machine unlearning. Most erasure methods intervene at the text interface, through prompt modification or localized updates to text-conditioning weights, and they are evaluated by what the model outputs for given prom …

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Your Unlearning Gives You Away: Identifying Erased Concepts in Diffusion Models

Kaiyuan Deng, Yuchen Li, Yang Xiao وآخرون · 2026

Existing attacks on unlearned diffusion models assume that the erased concepts are known in advance and focus on recovering them. In practice, however, model providers may not disclose which concepts have been removed, and even with access to the original base model, an adversary may still lack a clear target to attack …

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