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Found 2 papers, 1 papers with code
Improving Adversarial Attacks on Latent Diffusion Model
We show that these attacks add an extra error to the score function of adversarial examples predicted by LDM.
Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space
To efficiently and accurately evaluate the adversarial examples crafted in the latent space, we purpose \textbf{a novel evaluation matric} based on SSIM\cite{SSIM} loss and fool rate. Additionally, we explain why FID\cite{FID} is not suitable for measuring such adversarial examples.
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