research
∙
11/17/2021
Fairness Testing of Deep Image Classification with Adequacy Metrics
As deep image classification applications, e.g., face recognition, becom...
share
research
∙
07/17/2021
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling
Although deep learning has demonstrated astonishing performance in many ...
research
∙
11/14/2019
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
Deep neural networks (DNN) are increasingly applied in safety-critical s...
research
∙
12/14/2018
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing
Deep neural networks (DNN) have been shown to be useful in a wide range ...
research
∙
05/14/2018