G-Fuzz: A Directed Fuzzing Framework for gVisor-Reference-Cited by-同舟云学术

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G-Fuzz: A Directed Fuzzing Framework for gVisor

Published:2024-01 Issue:1 Volume:21 Page:168-185
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Li Yuwei¹^ORCID,Chen Yuan¹^ORCID,Ji Shouling¹^ORCID,Zhang Xuhong²^ORCID,Yan Guanglu³,Liu Alex X.³,Wu Chunming¹^ORCID,Pan Zulie⁴^ORCID,Lin Peng⁵

Affiliation:

1. College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China

2. School of Software Technology, Zhejiang University, Hangzhou, Zhejiang, China

3. Ant Group, Hangzhou, Zhejiang, China

4. College of Electronic Engineering, National University of Defense Technology, Hefei, Anhui, China

5. Chinese Aeronautical Establishment and AVIC Artificial Intelligence Research Institute, Beijing, China

Funder

Pioneer

Leading Goose

National Natural Science Foundation of China

State Key Laboratory of Computer Architecture

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/10400751/10049484.pdf?arnumber=10049484

Cited by 2 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. WolfFuzz: A Dynamic, Adaptive, and Directed Greybox Fuzzer;Electronics;2024-05-28

2. Seq2Seq-AFL: Fuzzing via sequence-to-sequence model;International Journal of Machine Learning and Cybernetics;2024-04-23

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