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VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector

8 January 2020

Papers citing "VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector"

43 / 43 papers shown

Title
Revisiting Pre-trained Language Models for Vulnerability Detection Youpeng Li Weiliang Qi Xuyu Wang Fuxun Yu Xinda Wang AAML 48 0 0 22 Jul 2025
AI-Based Software Vulnerability Detection: A Systematic Literature Review Samiha Shimmi Hamed Okhravi Mona Rahimi 183 0 0 12 Jun 2025
Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview Norbert Tihanyi Tamás Bisztray M. Ferrag Bilel Cherif Richard A. Dubniczky Ridhi Jain Lucas C. Cordeiro 132 1 0 13 Mar 2025
Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them Zixuan Tan Jiayuan Zhou Xing Hu Shengyi Pan Kui Liu Xin Xia 119 1 0 31 Dec 2024
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code? D. Cotroneo F. C. Grasso R. Natella V. Orbinato 212 0 0 10 Dec 2024
EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code Shahriyar Zaman Ridoy Md. Shazzad Hossain Shaon A. Cuzzocrea Mst. Shapna Akter 129 1 0 25 Nov 2024
StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model Yuan Jiang Yujian Zhang Xiaohong Su Christoph Treude Tiantian Wang 97 1 0 08 Oct 2024
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification Zeqing Qin Yiwei Wu Lansheng Han 85 0 0 11 Sep 2024
Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs Nafis Tanveer Islam Joseph Khoury Andrew Seong E. Bou-Harb Peyman Najafirad AAML 141 4 0 01 Sep 2024
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis Nafis Tanveer Islam Mazal Bethany Dylan Manuel Murtuza Jadliwala Peyman Najafirad 116 0 0 30 Aug 2024
Harnessing the Power of LLMs in Source Code Vulnerability Detection Andrew A Mahyari 115 8 0 07 Aug 2024
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection Shenao Yan Shen Wang Yue Duan Hanbin Hong Kiho Lee Doowon Kim Yuan Hong AAML SILM 113 31 0 10 Jun 2024
Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code Gary A. McCully John D. Hastings Shengjie Xu Adam Fortier 104 2 0 31 May 2024
IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities Ziyang Li Saikat Dutta Mayur Naik 168 84 0 27 May 2024
AI for DevSecOps: A Landscape and Future Opportunities Michael Fu Jirat Pasuksmit Chakkrit Tantithamthavorn 114 11 0 07 Apr 2024
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection Litao Li Steven H. H. Ding Andrew Walenstein P. Charland Benjamin C. M. Fung 86 1 0 03 Apr 2024
An Empirical Study of Automated Vulnerability Localization with Large Language Models Jian Zhang Chong Wang Anran Li Weisong Sun Cen Zhang Wei Ma Yang Liu 128 20 0 30 Mar 2024
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks B.K. Casey Joanna C. S. Santos George Perry 109 6 0 15 Mar 2024
VulMCI : Code Splicing-based Pixel-row Oversampling for More Continuous Vulnerability Image Generation Tao Peng Ling Gui Yi Sun 51 1 0 28 Feb 2024
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models Nafis Tanveer Islam Mohammad Bahrami Karkevandi Peyman Najafirad 136 10 0 13 Jan 2024
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward Nafis Tanveer Islam Joseph Khoury Andrew Seong Mohammad Bahrami Karkevandi G. Parra E. Bou-Harb Peyman Najafirad AAML 134 25 0 07 Jan 2024
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors Baijun Cheng Shengming Zhao Kailong Wang Meizhen Wang Guangdong Bai Ruitao Feng Yao Guo Lei Ma Haoyu Wang FAtt AAML 108 10 0 05 Jan 2024
How Far Have We Gone in Vulnerability Detection Using Large Language Models Zeyu Gao Hao Wang Yuchen Zhou Wenyu Zhu Chao Zhang 122 27 0 21 Nov 2023
Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities Avishree Khare Saikat Dutta Ziyang Li Alaia Solko-Breslin Rajeev Alur Mayur Naik ELM 154 62 0 16 Nov 2023
Large Language Models for Software Engineering: A Systematic Literature Review Xinying Hou Yanjie Zhao Yue Liu Zhou Yang Kailong Wang Li Li Xiapu Luo David Lo John C. Grundy Haoyu Wang 226 547 0 21 Aug 2023
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer -- A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities Tiehua Zhang Ruiqian Xu Jianping Zhang Yuze Liu Xin Chen Jun-Jian Yin Xi Zheng 147 2 0 02 Jun 2023
Sequential Graph Neural Networks for Source Code Vulnerability Identification Ammar Ahmed Anwar Said Mudassir Shabbir X. Koutsoukos GNN 68 2 0 23 May 2023
VMCDL: Vulnerability Mining Based on Cascaded Deep Learning Under Source Control Flow Wen Zhou 60 0 0 13 Mar 2023
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation Jiamou Sun Zhenchang Xing Qinghua Lu Xiwei Xu Liming Zhu Thong Hoang Dehai Zhao 93 16 0 15 Feb 2023
An Empirical Study of Deep Learning Models for Vulnerability Detection Benjamin Steenhoek Md. Mahbubur Rahman Richard Jiles Wei Le ELM AAML 133 105 0 15 Dec 2022
Deep-Learning-based Vulnerability Detection in Binary Executables A. Schaad Dominik Binder 87 10 0 25 Nov 2022
A Hierarchical Deep Neural Network for Detecting Lines of Codes with Vulnerabilities A. Mahyari 85 5 0 15 Nov 2022
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning Van Nguyen Trung Le Chakkrit Tantithamthavorn Michael Fu John C. Grundy Hung Nguyen S. Çamtepe Paul Quirk Dinh Q. Phung 110 4 0 20 Sep 2022
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities Hoang H. Nguyen Nhat-Minh Nguyen Chunyao Xie Zahra Ahmadi Daniel Kudendo Thanh-Nam Doan Lingxiao Jiang 87 23 0 28 Aug 2022
BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects Xiao Yi Yuzhou Fang Daoyuan Wu Lingxiao Jiang 100 22 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 144 151 0 24 Jul 2022
Transformer-Based Language Models for Software Vulnerability Detection Chandra Thapa Seung Ick Jang Muhammad Ejaz Ahmed S. Çamtepe J. Pieprzyk Surya Nepal 144 113 0 07 Apr 2022
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks David Hin Andrey Kan Huaming Chen M. Babar 108 187 0 10 Mar 2022
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements Yangruibo Ding Sahil Suneja Yunhui Zheng Jim Laredo Alessandro Morari Gail E. Kaiser Baishakhi Ray AAML 151 51 0 20 Dec 2021
Quantifying Cybersecurity Effectiveness of Dynamic Network Diversity Huashan Chen H. Çam Shouhuai Xu 75 6 0 15 Dec 2021
The Threat of Offensive AI to Organizations Yisroel Mirsky Ambra Demontis J. Kotak Ram Shankar Deng Gelei Liu Yang Xinming Zhang Wenke Lee Yuval Elovici Battista Biggio 138 90 0 30 Jun 2021
Literature review on vulnerability detection using NLP technology Jiajie Wu 182 15 0 23 Apr 2021
Multimodal Deep Learning for Flaw Detection in Software Programs S. Heidbrink Kathryn N. Rodhouse Daniel M. Dunlavy 59 7 0 09 Sep 2020