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1909.03496
Cited By
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
8 September 2019
Yaqin Zhou
Shangqing Liu
J. Siow
Xiaoning Du
Yang Liu
GNN
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Papers citing
"Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks"
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282
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An Analysis of LLM Fine-Tuning and Few-Shot Learning for Flaky Test Detection and Classification
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Riddhi More
Jeremy S. Bradbury
151
3
0
04 Feb 2025
Toward Neurosymbolic Program Comprehension
IEEE International Conference on Program Comprehension (ICPC), 2025
Alejandro Velasco
Aya Garryyeva
David Nader-Palacio
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Denys Poshyvanyk
286
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0
03 Feb 2025
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Binghui Wang
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330
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Correctness Assessment of Code Generated by Large Language Models Using Internal Representations
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Tuan-Dung Bui
Thanh Trong Vu
Thu-Trang Nguyen
Son Nguyen
H. Vo
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246
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How Should We Build A Benchmark? Revisiting 274 Code-Related Benchmarks For LLMs
Jialun Cao
Yuk-Kit Chan
Zixuan Ling
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Shuqing Li
...
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Shuai Wang
Zibin Zheng
Michael R. Lyu
Shing-Chi Cheung
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641
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How to Select Pre-Trained Code Models for Reuse? A Learning Perspective
IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2025
Zhangqian Bi
Yao Wan
Zhaoyang Chu
Yufei Hu
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Guandong Xu
Hai Jin
202
0
0
08 Jan 2025
Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them
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Jiayuan Zhou
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Xin Xia
249
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214
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Repository-Level Graph Representation Learning for Enhanced Security Patch Detection
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Xin-Cheng Wen
Zirui Lin
Cuiyun Gao
Hongyu Zhang
Yong Wang
Qing Liao
242
6
0
11 Dec 2024
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F. C. Grasso
R. Natella
V. Orbinato
315
0
0
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MVD: A Multi-Lingual Software Vulnerability Detection Framework
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T. H. Le
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266
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A. Cuzzocrea
Mst. Shapna Akter
248
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Peng Li
Zhuohao Yu
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336
3
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Yu Qiao
Lina Gong
Yu Zhao
Longji Xu
Mingqiang Wei
286
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Di Cao
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190
4
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266
6
0
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Haoye Tian
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Tegawende F. Bissyande
290
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Data Quality Issues in Vulnerability Detection Datasets
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Seifeddine Bettaieb
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207
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StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model
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Yuan Jiang
Yujian Zhang
Xiaohong Su
Christoph Treude
Tiantian Wang
225
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Showing LLM-Generated Code Selectively Based on Confidence of LLMs
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Yuqi Zhu
Yongmin Li
Ge Li
Zhi Jin
153
4
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Demonstration Attack against In-Context Learning for Code Intelligence
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Weisong Sun
Yihang Lou
Chunrong Fang
Yiran Zhang
Yiming Li
Xiaofang Zhang
Yang Liu
Zhihong Zhao
Zhenyu Chen
AAML
154
3
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03 Oct 2024
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Jiahao Cao
Darsh Poddar
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Xinda Wang
219
3
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30 Sep 2024
Software Security Analysis in 2030 and Beyond: A Research Roadmap
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Giuseppe Scanniello
265
6
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145
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NhatHai Phan
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198
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189
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311
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241
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Constantinos Patsakis
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Fran Casino
191
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Eric Liu
Xiangyu Guo
Xiao Hu
Ilya Grishchenko
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377
3
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Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection
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290
22
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Learning-based Models for Vulnerability Detection: An Extensive Study
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Xin Yin
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95
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Large Language Models for Secure Code Assessment: A Multi-Language Empirical Study
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193
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What Are Good Positional Encodings for Directed Graphs?
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260
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248
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157
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