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Junghyo Jo

2 accepted papers

2024

Direct Unlearning Optimization for Robust and Safe Text-to-Image Models

NeurIPS 2024poster

Recent advancements in text-to-image (T2I) models have greatly benefited from large-scale datasets, but they also pose significant risks due to the potential generation of unsafe content. To mitigate this issue, researchers proposed unlearning techniques that attempt to induce the model to unlearn p…

Cited by 13SourcePDFScholar
2023

Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry

NeurIPS 2023poster

Despite the success of diffusion models (DMs), we still lack a thorough understanding of their latent space. To understand the latent space $\mathbf{x}_t \in \mathcal{X}$, we analyze them from a geometrical perspective. Our approach involves deriving the local latent basis within $\mathcal{X}$ by le…