南科大联合UIUC团队利用AI升级软件安全测试核心技术，并节省计算资源

众所周知在计算机科学时代，人类面临无穷的的可能性。经过精心的设计，计算机科学新科技需要基于不同的方法论，在需要严谨逻辑的插件比对一幕里造就更为强的功用。今后，我们或将在越来越多行业底下见过更为多计算机科学造成了的欢笑。

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参考：1. Evaluating and Improving Neural Program-Smoothing-based Fuzzing. Mingyuan Wu, Ling Jiang, Jiahong Xiang, Yuqun Zhang, Guowei Yang, Huixin Ma, Sen Nie, Shi Wu, Heming Cui, and Lingming Zhang. Proceedings of the 44th IEEE International Conference on Software Engineering (ICSE 2022), full paper, to appear, May 2022.2. One Fuzzing Strategy to Rule Them All. Mingyuan Wu, Ling Jiang, Jiahong Xiang, Yanwei Huang, Heming Cui, Lingming Zhang, and Yuqun Zhang, Proceedings of the 44th IEEE International Conference on Software Engineering (ICSE 2022), full paper, to appear, May 2022.