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Found 4 papers, 2 papers with code
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
In this work, we conduct a large-scale scientific study into the impact of random seeds during diffusion inference.
Detecting Image Attribution for Text-to-Image Diffusion Models in RGB and Beyond
Modern text-to-image (T2I) diffusion models can generate images with remarkable realism and creativity.
Amodal Completion via Progressive Mixed Context Diffusion
We propose to sidestep many of the difficulties of existing approaches, which typically involve a two-step process of predicting amodal masks and then generating pixels.
BRON -- Linking Attack Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations
Many public sources of cyber threat and vulnerability information exist to serve the defense of cyber systems.
Cryptography and Security
