Deep Neural Network (DNN) models are often deployed in resource-sharing
...
Federated learning (FL) is the most popular distributed machine learning...
Object detection is the foundation of various critical computer-vision t...
To improve the modeling resilience of silicon strong physical unclonable...
Backdoor attacks have been a critical threat to deep neural network (DNN...
The Internet is the most complex machine humankind has ever built, and h...
Recent years have witnessed the rapid growth of federated learning (FL),...
As a well-known physical unclonable function that can provide huge numbe...
Federated learning (FL) trains a global model across a number of
decentr...
Deep learning models have been shown to be vulnerable to recent backdoor...
A backdoor deep learning (DL) model behaves normally upon clean inputs b...
Physical Unclonable Function (PUF) is a hardware security primitive with...
There is currently a burgeoning demand for deploying deep learning (DL)
...
Though deep neural network models exhibit outstanding performance for va...
Due to the strong analytical ability of big data, deep learning has been...
This work provides the community with a timely comprehensive review of
b...
Fog computing is an emerging computing paradigm that has come into
consi...