Learning Seed-Adaptive Mutation Strategies for Greybox Fuzzing-Reference-Cited by-同舟云学术

Learning Seed-Adaptive Mutation Strategies for Greybox Fuzzing

Published:2023-05 Issue: Volume: Page:
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Container-title:2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
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Author:

Lee Myungho¹,Cha Sooyoung²,Oh Hakjoo¹

Affiliation:

1. Korea University

2. Sungkyunkwan University

Funder

Samsung Electronics Co., Ltd

Institute of Information & communications Technology Planning & Evaluation (IITP)

MSIT(Ministry of Science and ICT)

National Research Foundation of Korea(NRF)

Publisher

IEEE

Link

Reference49 articles.

2. Afl+Afl+: Combining incremental steps of fuzzing research;fioraldi;14th USENIX Workshop on Offensive Technologies (WOOT 20),0

5. The use of likely invariants as feedback for fuzzers;fioraldi;30th USENIX Security Symposium (USENIX Security 21),0

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