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SCALE: Constructing Structured Natural Language Comment Trees for
  Software Vulnerability Detection

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection

28 March 2024
Xinjie Wen
Cuiyun Gao
Shuzheng Gao
Yang Xiao
Michael R. Lyu
ArXivPDFHTML

Papers citing "SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection"

5 / 5 papers shown
Title
AutoPT: How Far Are We from the End2End Automated Web Penetration
  Testing?
AutoPT: How Far Are We from the End2End Automated Web Penetration Testing?
Benlong Wu
Guoqiang Chen
Kejiang Chen
Xiuwei Shang
Jiapeng Han
Yanru He
W. Zhang
Nenghai Yu
LLMAG
33
2
0
02 Nov 2024
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection
Niklas Risse
Marcel Bohme
Marcel Böhme
45
4
0
23 Aug 2024
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
235
1,489
0
02 Sep 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
198
853
0
09 Feb 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,312
0
17 Jan 2021
1