Yifan Jia, Christopher M. Poskitt, *Peixin Zhang, Jingyi Wang, Jun Sun, and Sudipta Chattopadhyay, “Boosting Adversarial Training in Safety-critical Systems through Boundary Data Selection”, RA-L 2023. [PDF, Bibtex]


Jialuo Chen, Jingyi Wang, Xingjun Ma, Youcheng Sun, Jun Sun, Peixin Zhang, and Peng Cheng, “QuoTe: Quality-oriented Testing for Deep Learning Systems”, TOSEM 2023. [PDF, Bibtex]


Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, and Jinsong Dong, “Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling”, TSE 2021. [PDF, Bibtex]


Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jinsong Dong, and Ting Dai, “White-box Fairness Testing through Adversarial Sampling”, ICSE 2020 (ACM SIGSOFT Distinguished Paper, ACM SIGSOFT Research Highlight). [PDF, Bibtex, Slide, Video]

Yizhen Dong, *Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jinsong Dong, and Dai Ting, “An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks”, ICECCS 2020. [PDF, Bibtex]


Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, and Peixin Zhang, “Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing”, ICSE 2019. [PDF, Bibtex, Slide]


Jingyi Wang, Peixin Zhang, Pengfei Yang, Jun Sun, Dongxia Wang, and Xinyu Wang, “Detecting Adversarial Samples of Deep Neural Networks through Mutation Testing”, ARXIV. [PDF, Bibtex]

Xinyu Wang, Jun Sun, Zhenbang Chen, Peixin Zhang, Jingyi Wang, and Yun Lin, “Towards Optimal Concolic Testing”, ICSE 2018 (ACM SIGSOFT Distinguished Paper). [PDF, Bibtex, Slide]