ASSBert: Active and semi-supervised bert for smart contract vulnerability detection-Reference-Cited by-同舟云学术

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ASSBert: Active and semi-supervised bert for smart contract vulnerability detection

Published:2023-03 Issue: Volume:73 Page:103423
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Sun Xiaobing^ORCID,Tu Liangqiong,Zhang Jiale^ORCID,Cai Jie,Li Bin,Wang Yu^ORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference52 articles.

1. [26] Cointegraph1,2022

2. The eye of Horus: Spotting and analyzing attacks on ethereum smart contracts;Torres,2021

3. Blockchain-enabled federated learning: A survey;Qu;ACM Comput Surv,2022

4. Dao vulnerability,2022

5. A postmortem on the parity multi-sig library self-destruc,2022

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1. Vulnerability detection techniques for smart contracts: A systematic literature review;Journal of Systems and Software;2024-11

2. OpenSCV: an open hierarchical taxonomy for smart contract vulnerabilities;Empirical Software Engineering;2024-06-18

3. GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning;Journal of Systems and Software;2024-06

4. From Chatbots to Phishbots?: Phishing Scam Generation in Commercial Large Language Models;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

5. A Review of Advancements and Applications of Pre-Trained Language Models in Cybersecurity;2024 12th International Symposium on Digital Forensics and Security (ISDFS);2024-04-29

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