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MicroFuzz: An Efficient Fuzzing Framework for Microservices.

, , and . ICSE-SEIP, page 216-227. ACM, (2024)

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1dVul: Discovering 1-Day Vulnerabilities through Binary Patches., , , , , , and . DSN, page 605-616. IEEE, (2019)CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model., , , , , , , , , and 28 other author(s). ICSE-SEIP, page 418-429. ACM, (2024)A large-scale empirical study on vulnerability distribution within projects and the lessons learned., , , , , , , , and . ICSE, page 1547-1559. ACM, (2020)Exploiting the Trust Between Boundaries: Discovering Memory Corruptions in Printers via Driver-Assisted Testing., , , , , , , , , and . LCTES, page 74-84. ACM, (2020)αDiff: cross-version binary code similarity detection with DNN., , , , , , and . ASE, page 667-678. ACM, (2018)CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model., , , , , , , , , and 28 other author(s). CoRR, (2023)An Empirical Study on Change-induced Incidents of Online Service Systems., , , , , , and . ICSE-SEIP, page 234-245. IEEE, (2023)DCDFNE: build dataset to evaluate binary codes diffing tools and train deep learning models., , and . ISPA/BDCloud/SocialCom/SustainCom, page 145-152. IEEE, (2020)A Survey on Language Models for Code., , , , , , , and . CoRR, (2023)MicroFuzz: An Efficient Fuzzing Framework for Microservices., , and . ICSE-SEIP, page 216-227. ACM, (2024)