Diffusion models and large language models have emerged as leading-edge
...
Split learning enables collaborative deep learning model training while
...
Recent works on personalized text-to-image generation usually learn to b...
Federated Learning (FL) is pervasive in privacy-focused IoT environments...
It is well believed that the higher uncertainty in a word of the caption...
Recently, vector quantized autoregressive (VQ-AR) models have shown
rema...
The transferability of adversarial examples (AEs) across diverse models ...
Transferability of adversarial examples is of critical importance to lau...
BiSeNet has been proved to be a popular two-stream network for real-time...