Plug-and-Hide: Provable and Adjustable Diffusion Generative Steganography

Kavli Affiliate: Yi Zhou | First 5 Authors: Jiahao Zhu, Zixuan Chen, Lingxiao Yang, Xiaohua Xie, Yi Zhou | Summary: Generative Steganography (GS) is a novel technique that utilizes generative models to conceal messages without relying on cover images. Contemporary GS algorithms leverage the powerful generative capabilities of Diffusion Models (DMs) to create high-fidelity stego […]


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Neutron stars in the bumblebee theory of gravity

Kavli Affiliate: Lijing Shao | First 5 Authors: Peixiang Ji, Zhuhai Li, Lirui Yang, Rui Xu, Zexin Hu | Summary: Recently, theoretical studies on the bumblebee gravity model, a nonminimally-coupled vector-tensor theory that violates the Lorentz symmetry, have flourished, with a simultaneous increase in the utilization of observations to impose constraints. The static spherical solutions […]


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