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Can I read VDDL: A Deep Learning-Based Vulnerability Detection Model for Smart Contracts on EtoBox?
VDDL: A Deep Learning-Based Vulnerability Detection Model for Smart Contracts by Fan Jiang; Yuanlong Cao; Jianmao Xiao; Hui Yi; Gang Lei; Min Liu; Shuiguang Deng; Hao Wang is a computer science book available to read on EtoBox.
What is VDDL: A Deep Learning-Based Vulnerability Detection Model for Smart Contracts about?
The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China.<br>The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
Who reads VDDL: A Deep Learning-Based Vulnerability Detection Model for Smart Contracts?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Fan Jiang; Yuanlong Cao; Jianmao Xiao; Hui Yi; Gang Lei; Min Liu; Shuiguang Deng; Hao Wang
- Publisher
- Springer Nature Switzerland : Imprint: Springer
- Published
- 2023
- Language
- EN
- ISBN
- 9783031200984
- Category
- computer science
- Subjects
- Computer Science, Science, Technology
- Updated
- 2026-03-25
More by Fan Jiang; Yuanlong Cao; Jianmao Xiao; Hui Yi; Gang Lei; Min Liu; Shuiguang Deng; Hao Wang
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