Contextual Language Model and Transfer Learning for Reentrancy Vulnerability Detection in Smart Contracts-Reference-Cited by-同舟云学术

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Contextual Language Model and Transfer Learning for Reentrancy Vulnerability Detection in Smart Contracts

Published:2023-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Symposium on Information and Communication Technology
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Author:

Lê Hồng Bằng¹^ORCID,Lê Đức Thắng²^ORCID,Đoàn Minh Trung²^ORCID,Trần Tuấn Dũng²^ORCID,Phan Thế Duy²^ORCID,Phạm Văn Hậu²^ORCID

Affiliation:

1. University of Information Technology, Ho Chi Minh City, Vietnam, Vietnam

2. University of Information Technology, Ho Chi Minh City, Vietnam, Viet Nam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3628797.3628945

Reference21 articles.

1. 2016. The Dao Attack. https://en.wikipedia.org/wiki/The_DAO_(organization) 2016. The Dao Attack. https://en.wikipedia.org/wiki/The_DAO_(organization)

2. 2017. Ethereum Parity Bug. https://mashable.com/article/ethereum-parity-bug 2017. Ethereum Parity Bug. https://mashable.com/article/ethereum-parity-bug

3. RA: Hunting for Re-Entrancy Attacks in Ethereum Smart Contracts via Static Analysis

4. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. ArXiv abs/1810.04805 (2019). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. ArXiv abs/1810.04805 (2019).

5. Empirical review of automated analysis tools on 47,587 Ethereum smart contracts

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