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Found 7 papers, 1 papers with code
Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images
With the digital imagery landscape rapidly evolving, image stocks and AI-generated image marketplaces have become central to visual media.
Diffence: Fencing Membership Privacy With Diffusion Models
A unique feature of our defense is that it works on input samples only, without modifying the training or inference phase of the target model.
Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication
Diffusion-based models, such as the Stable Diffusion model, have revolutionized text-to-image synthesis with their ability to produce high-quality, high-resolution images.
Understanding (Un)Intended Memorization in Text-to-Image Generative Models
Multimodal machine learning, especially text-to-image models like Stable Diffusion and DALL-E 3, has gained significance for transforming text into detailed images.
Stealing the Decoding Algorithms of Language Models
A key component of generating text from modern language models (LM) is the selection and tuning of decoding algorithms.
On Free Energy for Deformed JT Gravity
In this paper, we study a particular deformation of the Jackiw-Teitelboim gravity recently considered by Maxfield, Turiaci and independently by Witten.
High Energy Physics - Theory General Relativity and Quantum Cosmology
On the first law of holographic complexity
In this paper, we examine the proposed first law of holographic complexity through studying different perturbations around various spacetime backgrounds.
High Energy Physics - Theory General Relativity and Quantum Cosmology
