Cerebro: context-aware adaptive fuzzing for effective vulnerability detection

Author:

Li Yuekang1,Xue Yinxing2,Chen Hongxu3,Wu Xiuheng3,Zhang Cen3,Xie Xiaofei3,Wang Haijun3,Liu Yang4

Affiliation:

1. University of Science and Technology of China, China / Nanyang Technological University, Singapore

2. University of Science and Technology of China, China

3. Nanyang Technological University, Singapore

4. Nanyang Technological University, Singapore / Zhejiang Sci-Tech University, China

Publisher

ACM

Cited by 61 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SLIMECRAFT: State Learning for Client-Server Regression Analysis and Fault Testing;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. Graph Confident Learning for Software Vulnerability Detection;Engineering Applications of Artificial Intelligence;2024-07

3. SoK: Prudent Evaluation Practices for Fuzzing;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

4. Code Property Graph based Cross-Domain Vulnerability Detection via Deep Fused Feature;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

5. CPMSVD: Cross-Project Multiclass Software Vulnerability Detection Via Fused Deep Feature and Domain Adaptation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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