research
∙
08/17/2023
CodeCoT and Beyond: Learning to Program and Test like a Developer
In natural language processing, transformer-based large language models ...
share
research
∙
07/21/2023
FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks
Deep neural networks have been widely used in many critical applications...
research
∙
07/21/2023
Feature Map Testing for Deep Neural Networks
Due to the widespread application of deep neural networks (DNNs) in safe...
research
∙
07/20/2023
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing
Deep Neural Networks (DNNs) have been widely deployed in software to add...
research
∙
07/19/2023
Towards Building More Robust Models with Frequency Bias
The vulnerability of deep neural networks to adversarial samples has bee...
research
∙
08/17/2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models
Deep neural networks (DNNs) are vulnerable to adversarial examples, in w...
research
∙
08/07/2018
GEEC: Scalable, Efficient, and Consistent Consensus for Blockchains
Blockchain technology has the potential to deploy broad decentralized ap...
research
∙
05/16/2018
