Honored to Win the ACM SIGSOFT Distinguished Paper Award at ICSE 2020

Our paper White-box Fairness Testing through Adversarial Sampling is honored to win the ACM SIGSOFT Distinguished Paper Award at ICSE 2020 (10 out of 129)! Congratulations to all the co-authors.

Paper Accepted by ICSE 2020

One paper entitled White-box Fairness Testing through Adversarial Sampling is accepted by ICSE 2020. This work pushes forward fairness testing to be applicable for large-scale deep neural networks.

Attended ICSE 2019

I attended ICSE 2019 at Montreal, Canada and presented our work Adversarial Sample Detection for Deep Neural Networks through Model Mutation Testing. [slide, code]

Paper Accepted by ICSE 2019

Our paper Adversarial Sample Detection for Deep Neural Networks through Model Mutation Testing is accepted by ICSE 2019. [arXiv] This work utilized the distinguishable sensitivity between adversarial and benign samples of a deep neural network to...