Abstract: Current methods in medical image semantic segmentation often rely on simple skip connections within U-shaped network structures. These approaches fail to bridge the semantic gap between the ...
Converting protein tertiary structure into discrete tokens via vector-quantized variational autoencoders (VQ-VAEs) creates a language of 3D geometry and provides a natural interface between sequence ...
Abstract: In this work, we propose StegGuard, a novel fingerprinting mechanism to verify the ownership of a suspect pretrained model using steganography, where the pretrained model is obtained via ...