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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"
50 / 260 papers shown
Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora
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TDI
207
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0
25 May 2022
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Hazim Hanif
S. Maffeis
212
173
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25 May 2022
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Changan Niu
Chuanyi Li
Bin Luo
Vincent Ng
SyDa
VLM
248
57
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24 May 2022
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
Tianming Zheng
Ming Liu
Deepak Puthal
216
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24 May 2022
A Survey of Deep Learning Models for Structural Code Understanding
Ruoting Wu
Yuxin Zhang
Qibiao Peng
Liang Chen
Zibin Zheng
232
8
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03 May 2022
On Distribution Shift in Learning-based Bug Detectors
International Conference on Machine Learning (ICML), 2022
Jingxuan He
Luca Beurer-Kellner
Martin Vechev
208
20
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21 Apr 2022
Addressing Leakage in Self-Supervised Contextualized Code Retrieval
International Conference on Computational Linguistics (COLING), 2022
Johannes Villmow
Viola Campos
A. Ulges
Ulrich Schwanecke
86
3
0
17 Apr 2022
Finding MNEMON: Reviving Memories of Node Embeddings
Conference on Computer and Communications Security (CCS), 2022
Yun Shen
Yufei Han
Zhikun Zhang
Min Chen
Tingyue Yu
Michael Backes
Yang Zhang
Gianluca Stringhini
175
16
0
14 Apr 2022
LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing
ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Qiang Hu
Yuejun Guo
Maxime Cordy
Xiaofei Xie
Mike Papadakis
Yves Le Traon
151
6
0
08 Apr 2022
Transformer-Based Language Models for Software Vulnerability Detection
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2022
Chandra Thapa
Seung Ick Jang
Muhammad Ejaz Ahmed
S. Çamtepe
J. Pieprzyk
Surya Nepal
298
133
0
07 Apr 2022
Learning Program Semantics with Code Representations: An Empirical Study
IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022
J. Siow
Shangqing Liu
Xiaofei Xie
Guozhu Meng
Yang Liu
138
49
0
22 Mar 2022
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
IEEE Working Conference on Mining Software Repositories (MSR), 2022
David Hin
Andrey Kan
Huaming Chen
M. Babar
213
224
0
10 Mar 2022
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
International Conference on Learning Representations (ICLR), 2022
David Bieber
Rishab Goel
Daniel Zheng
Hugo Larochelle
Daniel Tarlow
114
17
0
07 Mar 2022
MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks
International Conference on Software Engineering (ICSE), 2022
Sicong Cao
Xiaobing Sun
Lili Bo
Rongxin Wu
Bin Li
Chuanqi Tao
144
124
0
05 Mar 2022
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective
Erfan Al-Hossami
Samira Shaikh
176
7
0
10 Feb 2022
Unveiling Project-Specific Bias in Neural Code Models
International Conference on Language Resources and Evaluation (LREC), 2022
Zhiming Li
Yanzhou Li
Tianlin Li
Mengnan Du
Bozhi Wu
Yushi Cao
Yi Li
Yang Liu
287
6
0
19 Jan 2022
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements
IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2021
Yangruibo Ding
Sahil Suneja
Yunhui Zheng
Jim Laredo
Alessandro Morari
Gail E. Kaiser
Baishakhi Ray
AAML
229
62
0
20 Dec 2021
Boosting the Capability of Intelligent Vulnerability Detection by Training in a Human-Learning Manner
Jiajun Sun
Yueming Wu
Wenxuan Li
Feng Cheng
Wei Yang
Yang Liu
124
0
0
12 Dec 2021
Tracking Patches for Open Source Software Vulnerabilities
Congying Xu
Bihuan Chen
Chenhao Lu
Kaifeng Huang
Xin Peng
Yang Liu
108
38
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04 Dec 2021
Data-Driven AI Model Signal-Awareness Enhancement and Introspection
Sahil Suneja
Yufan Zhuang
Yunhui Zheng
Jim Laredo
Alessandro Morari
SyDa
279
1
0
10 Nov 2021
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search
IEEE Transactions on Software Engineering (TSE), 2021
Shangqing Liu
Xiaofei Xie
J. Siow
Lei Ma
Guozhu Meng
Yang Liu
GNN
425
75
0
04 Nov 2021
A ground-truth dataset of real security patches
Sofia Reis
Rui Abreu
159
16
0
18 Oct 2021
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Van-Anh Nguyen
Dai Quoc Nguyen
Van Nguyen
Trung Le
Quan Hung Tran
Dinh Q. Phung
255
164
0
14 Oct 2021
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Yangruibo Ding
Luca Buratti
Saurabh Pujar
Alessandro Morari
Baishakhi Ray
Saikat Chakraborty
243
36
0
08 Oct 2021
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
Yufan Zhuang
Sahil Suneja
Veronika Thost
Giacomo Domeniconi
Alessandro Morari
Jim Laredo
GNN
185
18
0
07 Sep 2021
VulSPG: Vulnerability detection based on slice property graph representation learning
IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021
Weining Zheng
Yuan Jiang
Xiaohong Su
125
48
0
06 Sep 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq Joty
Guosheng Lin
700
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0
02 Sep 2021
On Multi-Modal Learning of Editing Source Code
Saikat Chakraborty
Baishakhi Ray
KELM
206
67
0
15 Aug 2021
SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation
Xin Wang
Yasheng Wang
Fei Mi
Pingyi Zhou
Yao Wan
Xiao Liu
Li Li
Hao Wu
Jin Liu
Xin Jiang
303
130
0
10 Aug 2021
Towards Making Deep Learning-based Vulnerability Detectors Robust
Zhen Li
Jing Tang
Deqing Zou
Qian Chen
Shouhuai Xu
Chao Zhang
Yichen Li
Hai Jin
AAML
93
10
0
02 Aug 2021
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Zhenguang Liu
Peng Qian
Xiaoyang Wang
Yuan Zhuang
Lin Qiu
Xun Wang
203
280
0
24 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
ACM Computing Surveys (CSUR), 2021
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Bo Pan
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
659
34
0
21 Jul 2021
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
International Conference on Predictive Models in Software Engineering (PROMISE), 2021
G. Bhandari
Amara Naseer
Leon Moonen
156
228
0
19 Jul 2021
Cross-Lingual Transfer Learning for Statistical Type Inference
International Symposium on Software Testing and Analysis (ISSTA), 2021
Zhiming Li
Xiaofei Xie
Haoliang Li
Yulong Shen
Yi Li
Yang Liu
291
3
0
01 Jul 2021
Vulnerability Detection with Fine-grained Interpretations
Yi Li
Shaohua Wang
Tien N Nguyen
AAML
233
299
0
19 Jun 2021
On using distributed representations of source code for the detection of C security vulnerabilities
D. Coimbra
Sofia Reis
Rui Abreu
Corina Puasuareanu
H. Erdogmus
141
19
0
01 Jun 2021
SPI: Automated Identification of Security Patches via Commits
ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
Yaqin Zhou
J. Siow
Chenyu Wang
Shangqing Liu
Yang Liu
138
82
0
30 May 2021
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Ruchi Puri
David S. Kung
G. Janssen
Wei Zhang
Giacomo Domeniconi
...
Saurabh Pujar
Shyam Ramji
Ulrich Finkler
Susan Malaika
Frederick Reiss
189
325
0
25 May 2021
CoTexT: Multi-task Learning with Code-Text Transformer
Long Phan
H. Tran
Daniel Le
Hieu Duy Nguyen
J. Anibal
Alec Peltekian
Yanfang Ye
307
150
0
18 May 2021
How could Neural Networks understand Programs?
International Conference on Machine Learning (ICML), 2021
Dinglan Peng
Shuxin Zheng
Yatao Li
Guolin Ke
Di He
Tie-Yan Liu
NAI
187
73
0
10 May 2021
Code2Image: Intelligent Code Analysis by Computer Vision Techniques and Application to Vulnerability Prediction
Z. Bilgin
60
7
0
07 May 2021
Literature review on vulnerability detection using NLP technology
Jiajie Wu
377
16
0
23 Apr 2021
Multi-context Attention Fusion Neural Network for Software Vulnerability Identification
Anshul Tanwar
Hariharan Manikandan
Krishnan Sundaresan
Prasanna Ganesan
Sathish Kumar Chandrasekaran
S. Ravi
AAML
117
7
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19 Apr 2021
Generating Adversarial Computer Programs using Optimized Obfuscations
International Conference on Learning Representations (ICLR), 2021
Shashank Srikant
Sijia Liu
Tamara Mitrovska
Shiyu Chang
Quanfu Fan
Gaoyuan Zhang
Una-May O’Reilly
AAML
203
57
0
18 Mar 2021
Unified Pre-training for Program Understanding and Generation
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Wasi Uddin Ahmad
Saikat Chakraborty
Baishakhi Ray
Kai-Wei Chang
407
851
0
10 Mar 2021
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis
Yunhui Zheng
Saurabh Pujar
B. Lewis
Luca Buratti
Edward Epstein
Bo Yang
Jim Laredo
Alessandro Morari
Zhong Su
145
163
0
16 Feb 2021
Old but Gold: Reconsidering the value of feedforward learners for software analytics
Rahul Yedida
Xueqi Yang
Tim Menzies
AI4TS
128
4
0
15 Jan 2021
Learning from What We Know: How to Perform Vulnerability Prediction using Noisy Historical Data
Empirical Software Engineering (EMSE), 2020
Aayush Garg
Renzo Degiovanni
Matthieu Jimenez
Maxime Cordy
Mike Papadakis
Yves Le Traon
282
22
0
21 Dec 2020
A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities
International Conference on Data Science in Cyberspace (ICDSC), 2020
Rishi Rabheru
Hazim Hanif
S. Maffeis
GNN
149
13
0
16 Dec 2020
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
International Conference on Software Engineering (ICSE), 2020
Nghi D. Q. Bui
Yijun Yu
Lingxiao Jiang
SSL
228
117
0
13 Dec 2020
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