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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"

42 / 42 papers shown

Title
AI-Based Software Vulnerability Detection: A Systematic Literature Review Samiha Shimmi Hamed Okhravi Mona Rahimi 112 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 108 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 89 0 0 31 Dec 2024
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code? D. Cotroneo F. C. Grasso R. Natella V. Orbinato 165 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 91 0 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 76 1 0 08 Oct 2024
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification Zeqing Qin Yiwei Wu Lansheng Han 58 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 110 3 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 90 0 0 30 Aug 2024
Harnessing the Power of LLMs in Source Code Vulnerability Detection Andrew A Mahyari 92 4 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 76 26 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 75 2 0 31 May 2024
IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities Ziyang Li Saikat Dutta Mayur Naik 125 55 0 27 May 2024
AI for DevSecOps: A Landscape and Future Opportunities Michael Fu Jirat Pasuksmit Chakkrit Tantithamthavorn 79 7 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 56 0 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 95 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 93 5 0 15 Mar 2024
VulMCI : Code Splicing-based Pixel-row Oversampling for More Continuous Vulnerability Image Generation Tao Peng Ling Gui Yi Sun 21 0 0 28 Feb 2024
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models Nafis Tanveer Islam Mohammad Bahrami Karkevandi Peyman Najafirad 105 8 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 103 21 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 68 8 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 81 22 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 118 48 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 102 435 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 105 2 0 02 Jun 2023
Sequential Graph Neural Networks for Source Code Vulnerability Identification Ammar Ahmed Anwar Said Mudassir Shabbir X. Koutsoukos GNN 41 2 0 23 May 2023
VMCDL: Vulnerability Mining Based on Cascaded Deep Learning Under Source Control Flow Wen Zhou 23 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 72 15 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 88 91 0 15 Dec 2022
Deep-Learning-based Vulnerability Detection in Binary Executables A. Schaad Dominik Binder 64 8 0 25 Nov 2022
A Hierarchical Deep Neural Network for Detecting Lines of Codes with Vulnerabilities A. Mahyari 55 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 82 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 65 21 0 28 Aug 2022
BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects Xiao Yi Yuzhou Fang Daoyuan Wu Lingxiao Jiang 67 19 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 115 144 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 86 98 0 07 Apr 2022
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks David Hin Andrey Kan Huaming Chen M. Babar 83 168 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 122 49 0 20 Dec 2021
Quantifying Cybersecurity Effectiveness of Dynamic Network Diversity Huashan Chen H. Çam Shouhuai Xu 16 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 97 85 0 30 Jun 2021
Literature review on vulnerability detection using NLP technology Jiajie Wu 145 15 0 23 Apr 2021
Multimodal Deep Learning for Flaw Detection in Software Programs S. Heidbrink Kathryn N. Rodhouse Daniel M. Dunlavy 30 7 0 09 Sep 2020