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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
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26 May 2023
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
Empirical Software Engineering (EMSE), 2023
Michael Fu
Chakkrit Tantithamthavorn
Trung Le
Yukinori Kume
Van Nguyen
Dinh Q. Phung
John C. Grundy
219
49
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26 May 2023
Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities
Michael Fu
Trung Le
Van Nguyen
Chakkrit Tantithamthavorn
Dinh Q. Phung
124
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0
26 May 2023
A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification
International Conference/Workshop on Automation of Software Test (AST), 2023
Norbert Tihanyi
Ridhi Jain
Yiannis Charalambous
M. Ferrag
Youcheng Sun
Lucas C. Cordeiro
295
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24 May 2023
Sequential Graph Neural Networks for Source Code Vulnerability Identification
Ammar Ahmed
Anwar Said
Mudassir Shabbir
X. Koutsoukos
GNN
118
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23 May 2023
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
International Conference on Language Resources and Evaluation (LREC), 2023
Qiushi Sun
Polydoros Giannouris
Jiadong Wang
Xiang Li
Ming Gao
256
12
0
23 May 2023
Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning?
Aaron Chan
Anant Kharkar
Roshanak Zilouchian Moghaddam
Yevhen Mohylevskyy
Alec Helyar
Eslam Kamal
Mohamed Elkamhawy
Neel Sundaresan
190
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23 May 2023
Neural Machine Translation for Code Generation
K. Dharma
Clayton T. Morrison
328
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22 May 2023
Towards Tracing Code Provenance with Code Watermarking
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Borui Yang
Yujie Sun
Suyu Chen
Ziyun Song
Liyao Xiang
Xinbing Wang
Cheng Zhou
WaLM
223
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21 May 2023
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Nikita Sorokin
Dmitry Abulkhanov
Sergey I. Nikolenko
Valentin Malykh
169
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19 May 2023
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jie M. Zhang
Wei Ma
Q. Hu
Shangqing Liu
Xiaofei Xie
Yves Le Traon
Yang Liu
AAML
261
11
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10 May 2023
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification
Anastasiia Grishina
Max Hort
Leon Moonen
228
12
0
08 May 2023
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph
European Symposium on Security and Privacy (Euro S&P), 2023
Nafis Tanveer Islam
G. Parra
Dylan Manuel
E. Bou-Harb
Peyman Najafirad
193
14
0
17 Apr 2023
Graph Mining for Cybersecurity: A Survey
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Bo Yan
Cheng Yang
Chuan Shi
Yong Fang
Qi Li
Yanfang Ye
Junping Du
326
28
0
02 Apr 2023
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection
International Symposium on Recent Advances in Intrusion Detection (RAID), 2023
Yizheng Chen
Zhoujie Ding
Lamya Alowain
Xinyun Chen
David Wagner
AAML
310
243
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01 Apr 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis
European Symposium on Security and Privacy (Euro S&P), 2022
Haoyu He
Yuede Ji
H. H. Huang
178
28
0
26 Mar 2023
Software Vulnerability Prediction Knowledge Transferring Between Programming Languages
International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), 2023
Khadija Hanifi
R. Fouladi
Basak Gencer Unsalver
Goksu Karadag
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102
4
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10 Mar 2023
xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Mohammad Abdullah Matin Khan
M Saiful Bari
Xuan Long Do
Weishi Wang
Md. Rizwan Parvez
Shafiq Joty
ALM
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461
49
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06 Mar 2023
Detecting software vulnerabilities using Language Models
Marwan Omar
180
11
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23 Feb 2023
Large Language Models for Code: Security Hardening and Adversarial Testing
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Jingxuan He
Martin Vechev
ELM
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386
199
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10 Feb 2023
Code Difference Guided Adversarial Example Generation for Deep Code Models
International Conference on Automated Software Engineering (ASE), 2023
Zhao Tian
Junjie Chen
Zhi Jin
AAML
369
39
0
06 Jan 2023
A Survey on Pretrained Language Models for Neural Code Intelligence
Yichen Xu
Yanqiao Zhu
150
19
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20 Dec 2022
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Wei Ma
Shangqing Liu
Mengjie Zhao
Xiaofei Xie
Wenhan Wang
Q. Hu
Jiexin Zhang
Yang Liu
386
37
0
20 Dec 2022
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context
International Conference on Language Resources and Evaluation (LREC), 2022
Yangruibo Ding
Zijian Wang
Wasi Uddin Ahmad
M. K. Ramanathan
Ramesh Nallapati
Parminder Bhatia
Dan Roth
Bing Xiang
325
91
0
20 Dec 2022
JEMMA: An Extensible Java Dataset for ML4Code Applications
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Anjan Karmakar
Miltiadis Allamanis
Romain Robbes
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174
4
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18 Dec 2022
An Empirical Study of Deep Learning Models for Vulnerability Detection
International Conference on Software Engineering (ICSE), 2022
Benjamin Steenhoek
Md. Mahbubur Rahman
Richard Jiles
Wei Le
ELM
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324
125
0
15 Dec 2022
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection
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Benjamin Steenhoek
Hongyang Gao
Wei Le
348
69
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15 Dec 2022
DexBERT: Effective, Task-Agnostic and Fine-grained Representation Learning of Android Bytecode
IEEE Transactions on Software Engineering (TSE), 2022
Tiezhu Sun
Kevin Allix
Kisub Kim
Xin Zhou
Dongsun Kim
David Lo
Tegawende F. Bissyande
Jacques Klein
200
20
0
12 Dec 2022
A Survey on Natural Language Processing for Programming
International Conference on Language Resources and Evaluation (LREC), 2022
Qingfu Zhu
Xianzhen Luo
Fang Liu
Cuiyun Gao
Wanxiang Che
185
5
0
12 Dec 2022
ICSPatch: Automated Vulnerability Localization and Non-Intrusive Hotpatching in Industrial Control Systems using Data Dependence Graphs
USENIX Security Symposium (USENIX Security), 2022
Prashant Hari Narayan Rajput
Constantine Doumanidis
Michail Maniatakos
119
21
0
08 Dec 2022
DeepVulSeeker: A Novel Vulnerability Identification Framework via Code Graph Structure and Pre-training Mechanism
Future generations computer systems (FGCS), 2022
Jin Wang
Hui Xiao
Shuwen Zhong
Yinhao Xiao
145
16
0
23 Nov 2022
Poison Attack and Defense on Deep Source Code Processing Models
Jia Li
Zhuo Li
Huangzhao Zhang
Ge Li
Zhi Jin
Xing Hu
Xin Xia
AAML
164
24
0
31 Oct 2022
A Novel Feature Representation for Malware Classification
John Musgrave
T. Kebede
David Kapp
Anca L. Ralescu
147
1
0
18 Oct 2022
Empirical Network Structure of Malicious Programs
Advances in Artificial Intelligence and Machine Learning (AAIML), 2022
John Musgrave
A. Campan
T. Kebede
David Kapp
Anca L. Ralescu
147
2
0
14 Oct 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022
Zeming Dong
Qiang Hu
Yuejun Guo
Maxime Cordy
Mike Papadakis
Zhenya Zhang
Yves Le Traon
Jianjun Zhao
268
10
0
06 Oct 2022
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing
Journal of Systems and Software (JSS), 2022
Zeming Dong
Qiang Hu
Zhenya Zhang
Yuejun Guo
Maxime Cordy
Mike Papadakis
Yves Le Traon
Jianjun Zhao
296
4
0
06 Oct 2022
Semantic-Preserving Adversarial Code Comprehension
International Conference on Computational Linguistics (COLING), 2022
Yiyang Li
Hongqiu Wu
Hai Zhao
AAML
150
9
0
12 Sep 2022
Evaluating the Future Device Security Risk Indicator for Hundreds of IoT Devices
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Pascal Oser
Felix Engelmann
S. Lüders
F. Kargl
135
2
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08 Sep 2022
Learning Program Representations with a Tree-Structured Transformer
IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022
Wenhan Wang
Kechi Zhang
Ge Li
Shangqing Liu
Anran Li
Zhi Jin
Yang Liu
231
10
0
18 Aug 2022
A Library for Representing Python Programs as Graphs for Machine Learning
David Bieber
Kensen Shi
Petros Maniatis
Charles Sutton
Vincent J. Hellendoorn
Daniel D. Johnson
Daniel Tarlow
GNN
AI4CE
138
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15 Aug 2022
Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines
European Conference on Software Architecture (ECSA), 2022
Patrick Flynn
T. Vanderbruggen
C. Liao
Pei-Hung Lin
M. Emani
Xipeng Shen
208
5
0
11 Aug 2022
Multi-View Pre-Trained Model for Code Vulnerability Identification
Wireless Algorithms, Systems, and Applications (WASA), 2022
Xuxia Jiang
Yinhao Xiao
Jun Wang
Wei Zhang
99
2
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10 Aug 2022
BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects
Network and Distributed System Security Symposium (NDSS), 2022
Xiao Yi
Yuzhou Fang
Daoyuan Wu
Lingxiao Jiang
244
24
0
30 Jul 2022
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang
Yuanhang Yang
Cuiyun Gao
Yun Peng
Hongyu Zhang
Michael R. Lyu
AAML
196
177
0
24 Jul 2022
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation
International Conference on Software Engineering (ICSE), 2022
Qiang Hu
Yuejun Guo
Xiaofei Xie
Maxime Cordy
Lei Ma
Mike Papadakis
Yves Le Traon
AAML
114
23
0
22 Jul 2022
Enhancing Security Patch Identification by Capturing Structures in Commits
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Bozhi Wu
Shangqing Liu
Ruitao Feng
Xiaofei Xie
J. Siow
Shang-Wei Lin
140
42
0
19 Jul 2022
Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection
Social Science Research Network (SSRN), 2022
Maksim Zubkov
Egor Spirin
Egor Bogomolov
T. Bryksin
154
7
0
17 Jun 2022
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Weiguo Pian
Hanyu Peng
Xunzhu Tang
Tiezhu Sun
Haoye Tian
Andrew Habib
Jacques Klein
Tegawende F. Bissyande
149
17
0
13 Jun 2022
Fault-Aware Neural Code Rankers
Neural Information Processing Systems (NeurIPS), 2022
J. Inala
Chenglong Wang
Mei Yang
Andrés Codas
Mark Encarnación
Shuvendu K. Lahiri
Madan Musuvathi
Jianfeng Gao
ALM
269
51
0
04 Jun 2022
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
AAAI Conference on Artificial Intelligence (AAAI), 2022
Akshita Jha
Chandan K. Reddy
SILM
ELM
AAML
374
95
0
31 May 2022
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