Today, we are in the era of big data, and data are becoming more and mor...
Recent advances in artificial intelligence (AI) have significantly
inten...
Few-shot class-incremental learning(FSCIL) focuses on designing learning...
Real-world visual search systems involve deployments on multiple platfor...
Intelligent Internet of Things (IoT) systems based on deep neural networ...
Deep learning models are vulnerable to adversarial examples and make
inc...
In object re-identification (ReID), the development of deep learning
tec...
Deep learning based image recognition systems have been widely deployed ...
Adversarial training is one of the most effective approaches defending
a...
Adversarial examples are inevitable on the road of pervasive application...
Deep learning models are shown to be vulnerable to adversarial examples....
Deep neural networks have been shown vulnerable toadversarial patches, w...
Adversarial examples that can fool deep models are mainly crafted by add...
Differential privacy provides a rigorous framework to quantify data priv...
Local differential privacy (LDP) has been deemed as the de facto measure...
Face Recognition has been studied for many decades. As opposed to tradit...