Neural networks have been widely applied in security applications such a...
Formal methods for verification of programs are extended to testing of
p...
When deploying pre-trained neural network models in real-world applicati...
Recent years have seen the wide application of NLP models in crucial are...
Understanding how the predictions of deep learning models are formed dur...
It is known that neural networks are subject to attacks through adversar...
Trained with a sufficiently large training and testing dataset, Deep Neu...
Bug datasets consisting of real-world bugs are important artifacts for
r...
Although deep learning has demonstrated astonishing performance in many
...
The widespread adoption of Deep Neural Networks (DNNs) in important doma...
Ensemble trees are a popular machine learning model which often yields h...
N-PAT is a new model-checking tool that supports the verification of
nes...
Service composition aims at achieving a business goal by composing exist...
Deep neural networks (DNN) are increasingly applied in safety-critical
s...
This paper introduces a new classification tool named Silas, which is bu...
While AI techniques have found many successful applications in autonomou...
Neural network is becoming the dominant approach for solving many real-w...
SPARC processors have many applications in mission-critical industries s...