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Jonas Ricker

2 accepted papers

2024

AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error

CVPR 2024poster

With recent text-to-image models anyone can generate deceptively realistic images with arbitrary contents fueling the growing threat of visual disinformation. A key enabler for generating high-resolution images with low computational cost has been the development of latent diffusion models (LDMs). I…

2024

Single-Model Attribution of Generative Models Through Final-Layer Inversion

ICML 2024poster

Recent breakthroughs in generative modeling have sparked interest in practical single-model attribution. Such methods predict whether a sample was generated by a specific generator or not, for instance, to prove intellectual property theft. However, previous works are either limited to the closed-wo…