受强制性开放获取政策约束的文章 - Peixin Zhang了解详情
可在其他位置公开访问的文章：7 篇
Adversarial sample detection for deep neural network through model mutation testing
J Wang, G Dong, J Sun, X Wang, P Zhang
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
强制性开放获取政策： 国家自然科学基金委员会
White-box fairness testing through adversarial sampling
P Zhang, J Wang, J Sun, G Dong, X Wang, X Wang, JS Dong, T Dai
Proceedings of the ACM/IEEE 42nd international conference on software …, 2020
强制性开放获取政策： 国家自然科学基金委员会, National Research Foundation, Singapore
Towards optimal concolic testing
X Wang, J Sun, Z Chen, P Zhang, J Wang, Y Lin
Proceedings of the 40th International Conference on Software Engineering …, 2018
强制性开放获取政策： 国家自然科学基金委员会
An empirical study on correlation between coverage and robustness for deep neural networks
Y Dong, P Zhang, J Wang, S Liu, J Sun, J Hao, X Wang, L Wang, J Dong, ...
2020 25th International Conference on Engineering of Complex Computer …, 2020
强制性开放获取政策： 国家自然科学基金委员会
Automatic fairness testing of neural classifiers through adversarial sampling
P Zhang, J Wang, J Sun, X Wang, G Dong, X Wang, T Dai, JS Dong
IEEE Transactions on Software Engineering 48 (9), 3593-3612, 2021
强制性开放获取政策： 国家自然科学基金委员会
QuoTe: Quality-oriented Testing for Deep Learning Systems
J Chen, J Wang, X Ma, Y Sun, J Sun, P Zhang, P Cheng
ACM Transactions on Software Engineering and Methodology 32 (5), 1-33, 2023
强制性开放获取政策： 国家自然科学基金委员会
Boosting adversarial training in safety-critical systems through boundary data selection
Y Jia, CM Poskitt, P Zhang, J Wang, J Sun, S Chattopadhyay
IEEE Robotics and Automation Letters, 2023
强制性开放获取政策： 国家自然科学基金委员会
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