Multimodal contrastive learning aims to train a general-purpose feature
...
Federated learning (FL) is a nascent distributed learning paradigm
to tr...
Adversarial examples (AEs) for DNNs have been shown to be transferable: ...
Deep neural networks are proven to be vulnerable to backdoor attacks.
De...
Point cloud completion, as the upstream procedure of 3D recognition and
...
Federated learning is a newly emerging distributed learning framework th...
While deep face recognition (FR) systems have shown amazing performance ...
In this paper, we propose and analyze a first-order and a second-order
t...
Neural networks provide better prediction performance than previous
tech...
Searchable symmetric encryption (SSE) allows the data owner to outsource...
Extreme learning machine (ELM) as a neural network algorithm has shown i...