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ICLR 2024

MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Synthesis Via Meta-learning

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提交: 2023-09-21更新: 2024-03-26
TL;DR

We propose MetaCloak, a robust solution utilizing meta-learning and transformation-robust noise crafting to prevent unauthorized, subject-driven text-to-image synthesis by DreamBooth models.

摘要

关键词
Poisoning AttackUnauthorized SynthesisDreamBoothText-to-Image Diffusion Models

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