# Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/software-vulnerability-analysis-and-discovery-using-deep-learning-techniques-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Peng Zeng,Guanjun Lin,Lei Pan,Yonghang Tai,Jun Zhang |
| Citations | 77 |
| DOI | 10.1109/access.2020.3034766 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8948470/09244140.pdf |
| OpenAlex ID | https://openalex.org/W3097867666 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Yonghang Tai](https://scholariq.org/researchers/yonghang-tai/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)

## Paper topics

- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Software Engineering Research](https://scholariq.org/topics/software-engineering-research/)
- [Software Reliability and Analysis Research](https://scholariq.org/topics/software-reliability-and-analysis-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.