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Transformer-based Vulnerability Detection in Code at EditTime:
  Zero-shot, Few-shot, or Fine-tuning?

Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning?

23 May 2023
Aaron Chan
Anant Kharkar
Roshanak Zilouchian Moghaddam
Yevhen Mohylevskyy
Alec Helyar
Eslam Kamal
Mohamed Elkamhawy
Neel Sundaresan
ArXiv (abs)PDFHTML

Papers citing "Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning?"

4 / 4 papers shown
Title
Expert-in-the-Loop Systems with Cross-Domain and In-Domain Few-Shot Learning for Software Vulnerability Detection
Expert-in-the-Loop Systems with Cross-Domain and In-Domain Few-Shot Learning for Software Vulnerability Detection
David Farr
Kevin Talty
Alexandra Farr
John Stockdale
Iain Cruickshank
Jevin West
59
0
0
11 Jun 2025
Large Language Models for Cyber Security: A Systematic Literature Review
Large Language Models for Cyber Security: A Systematic Literature Review
HanXiang Xu
Shenao Wang
Ningke Li
Kaidi Wang
Yanjie Zhao
Kai Chen
Ting Yu
Yang Liu
Haoyu Wang
117
43
0
08 May 2024
CompVPD: Iteratively Identifying Vulnerability Patches Based on Human
  Validation Results with a Precise Context
CompVPD: Iteratively Identifying Vulnerability Patches Based on Human Validation Results with a Precise Context
Tianyu Chen
Lin Li
Taotao Qian
Jingyi Liu
Wei Yang
Ding Li
Guangtai Liang
Qianxiang Wang
Tao Xie
63
0
0
04 Oct 2023
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Benjamin Steenhoek
Michele Tufano
Neel Sundaresan
Alexey Svyatkovskiy
OffRLALM
143
22
0
03 Oct 2023
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