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sGuard+: Machine Learning Guided Rule-Based Automated Vulnerability Repair on Smart Contracts

Crossref DOI link: https://doi.org/10.1145/3641846

Published Online: 2024-06-04

Published Print: 2024-06-30

Update policy: https://doi.org/10.1145/crossmark-policy

Authors

Gao, Cuifeng https://orcid.org/0000-0003-0672-1485
Yang, Wenzhang https://orcid.org/0009-0006-7836-1246
Ye, Jiaming https://orcid.org/0000-0001-6111-3090
Xue, Yinxing https://orcid.org/0000-0002-2979-7151
Sun, Jun https://orcid.org/0000-0002-3545-1392
Funding

Funding for this research was provided by:

Anhui Provincial Department of Science and Technology (202103a05020009)

National Natural Science Foundation of China (61972373)

Basic Research Program of Jiangsu Province (BK20201192)

CAS Pioneer Hundred Talents Program of China

Ministry of Education, Singapore under its Academic Research Fund Tier 3 (MOET32020-0004)
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Publication History

Received: 2022-11-24

Accepted: 2024-01-09

Published: 2024-06-04