葉傲霜，男，1992年1月生，讲师，工学博士，硕士生导师。2015年6月毕业于江汉大学机械设计制造及其自动化专业，获工学学士学位；2018年3月毕业于日本北陆先端科学技术大学院大学情报工学研究科，获信息科学硕士学位；2022年12月毕业于武汉大学国家网络安全学院，获工学博士学位。

郵箱：asye@wtu.edu.cn,yasfrost@whu.edu.cn

1.主要研究方向

人工智能安全（安全測試）、軟件安全

2.教學、科研項目

1)武汉纺织大学博士科研启动基金，2023 - 2026，主持

2)十三五国家重点研发计划项目“网络空间安全”重点专项，网络 XXX 机理研究，2018 - 2020，参与

3)国家自然科学基金-面上项目，面向攻击语境的社交网络�：π畔⒓觳夥椒�及其验证与测试研究，2018 - 2022，参与

4)武汉大学重点重大培育项目，中央高校基本科研业务费专项，社会网络空间�：π畔⒅悄芗觳庥胱纷偎菰醇际�，2018 - 2019，参与

3.論文與專利

論文:

[1] Aoshuang Ye, Lina Wang*, Lei Zhao*, and Jianpeng Ke, Ex^2: Monte Carlo Tree Search based Test Inputs Prioritization for Fuzzing Deep Neural Networks.International Journal of Intelligent Systems, 2022.(一作，中科院一区 Top)

[2] Aoshuang Ye, Lina Wang*, Lei Zhao*, Wenqi Wang, Jianpeng Ke, and Qinliang Liu, RapidFuzz: Accelerating Fuzzing via Generative Adversarial Networks, Neurocomputing, 2021. (一作，中科院二区 Top)

[3] Aoshuang Ye, Lina Wang*, Run Wang*, Wenqi Wang, Jianpeng Ke, and Danlei Wang, An End-to-End Rumor Detection Model Based on Feature Aggregation. Complexity, 2021.(一作，中科院三区)

[4] Aoshuang Ye, Lina Wang*, Lei Zhao, and Jianpeng Ke, DANCe: Dynamic Adaptive Neuron Coverage for Fuzzing Deep Neural Networks.International Joint Conference on Neural Networks, 2022.(一作，CCF C 类推荐会议)

[5] Shuo Xiong,Aoshuang Ye*, and Hiroyuki Iida, A Game Informatical Analysis of Dark Chess by Game Refinement Theory.International Summit Smart City 360 2019.(通讯作者，EI 检索)

[6] Wenqi Wang, Run Wang, Lina Wang, Zhibo Wang, Aoshuang Ye, Towards a Robust Deep Neural Network against Adversarial Texts: A Survey.IEEE Transactions on Knowledge and Data Engineering.(CCF A类推荐期刊，中科院二区)

[7] Wenqi Wang, Lina Wang, Run Wang, Aoshuang Ye, and Jianpeng Ke, Better Constraints of Imperceptibility, Better Adversarial Examples in the Text.International Journal of Intelligent Systems,2021. (中科院一区 Top)

[8] Lina Wang, Kang Yang, Wenqi Wang, Run Wang, Aoshuang Ye, MGAAttack: Toward more query-efficient black-box attack by microbial genetic algorithm.ACM Multimedia, 2020. (CCF A类推荐会议)

[9] Wenqi Wang, Lina Wang, Kang Yang, Aoshuang Ye, Run Wang, and Jianpeng Ke, Omni-Detection of Adversarial Examples with Diverse Magnitudes.China Communications, 2021. (中科院三区)

[10] Zhengwu Luo, Lina Wang, Wenqi Wang, and Aoshuang Ye, Annealing Attention Networks for User Feature-Based Rumor Early Detection on Weibo.International Joint Conference on Neural Networks,2021.(CCF C类推荐会议)

[11] Jianpeng Ke, Lina Wang, Aoshuang Ye, and Jie Fu, Combating Multi-level Adversarial Text with Pruning based Adversarial Training.International Joint Conference on Neural Networks,2022.(CCF C类推荐会议)

[12] Zhengwu Luo, Lina Wang, Run Wang, Kang Yang, and Aoshuang Ye. Improving Robustness Verification of Neural Networks with General Activation Functions via Branching and Optimization.International Joint Conference on Neural Networks,2022.(CCF C类推荐会议)

[13]王丽娜, 柯剑鹏, 葉傲霜, 王文琦, 基于多元特征的微博中被劫持账户检测.武汉大学学报(理学版),2020.(中文核心期刊）

專利：

[1]一種基于蒙特卡洛搜索樹種子調度的深度學習�：郎y試方法，202110946922.1，排序二（已授權）

[2]一種基于三元特征的深度注意力謠言鑒別方法及裝置，ZL201911074952.7，排序四

[3]一種基于用戶特征的退火注意力謠言鑒別方法及裝置，ZL202110389173.7，排序四

[4]一種基于微生物遺傳算法的黑盒對抗樣本生成方法，ZL202010585924.8，排序四

4.教科研獎勵

5.個人榮譽和指導學生獲獎

2022年，NCC網安學院卓越獎學金一等獎

2021年，華爲獎學金

2017年，JAIST校長獎

2016年，日本石川縣私費留學生獎學金