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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/smr.1707openalex-snapshot
A parallel and efficient approach to large scale clone detection
inferredcites →https://doi.org/10.1007/11804192_6openalex-snapshot
Smallfoot: Modular Automatic Assertion Checking with Separation Logic
inferredcites →https://doi.org/10.1007/3-540-47764-0_3openalex-snapshot
Using Slicing to Identify Duplication in Source Code
inferredcites →https://doi.org/10.1007/s13042-011-0012-5openalex-snapshot
Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery
inferredcites →https://doi.org/10.1016/j.future.2016.10.005openalex-snapshot
Cloud security engineering: Early stages of SDLC
inferredcites →https://doi.org/10.1109/acsac.2000.898880openalex-snapshot
ITS4: a static vulnerability scanner for C and C++ code
inferredcites →https://doi.org/10.1109/discex.2000openalex-snapshot
Proceedings DARPA Information Survivability Conference and Exposition. DISCEX'00
inferredcites →https://doi.org/10.1109/discex.2000.821514openalex-snapshot
Buffer overflows: attacks and defenses for the vulnerability of the decade
inferredcites →https://doi.org/10.1109/iceccs.2019.00012openalex-snapshot
Static Detection of Control-Flow-Related Vulnerabilities Using Graph Embedding
inferredcites →https://doi.org/10.1109/iceccs51672.2020openalex-snapshot
2020 25th International Conference on Engineering of Complex Computer Systems (ICECCS)
inferredcites →https://doi.org/10.1109/icpc.2008.41openalex-snapshot
NICAD: Accurate Detection of Near-Miss Intentional Clones Using Flexible Pretty-Printing and Code Normalization
inferredcites →https://doi.org/10.1109/icse.2019.00086openalex-snapshot
A Novel Neural Source Code Representation Based on Abstract Syntax Tree
inferredcites →https://doi.org/10.1109/icsm.1994.336783openalex-snapshot
Substring matching for clone detection and change tracking
inferredcites →https://doi.org/10.1109/innovations.2014.6987569openalex-snapshot
Evaluation of static analysis tools for software security
inferredcites →https://doi.org/10.1109/innovations35137.2014openalex-snapshot
2014 10th International Conference on Innovations in Information Technology (IIT)
inferredcites →https://doi.org/10.1109/iwsc.2013.6613042openalex-snapshot
A parallel and efficient approach to large scale clone detection
inferredcites →https://doi.org/10.1109/sp.2009.18openalex-snapshot
Automatic Discovery and Quantification of Information Leaks
inferredcites →https://doi.org/10.1109/sp.2012.13openalex-snapshot
ReDeBug: Finding Unpatched Code Clones in Entire OS Distributions
inferredcites →https://doi.org/10.1109/sp.2015.54openalex-snapshot
Automatic Inference of Search Patterns for Taint-Style Vulnerabilities
inferredcites →https://doi.org/10.1109/sp.2017.62openalex-snapshot
VUDDY: A Scalable Approach for Vulnerable Code Clone Discovery
inferredcites →https://doi.org/10.1109/tse.2002.1019480openalex-snapshot
CCFinder: a multilinguistic token-based code clone detection system for large scale source code
inferredcites →https://doi.org/10.1109/tse.2006.28openalex-snapshot
CP-Miner: finding copy-paste and related bugs in large-scale software code
inferredcites →https://doi.org/10.1109/tse.2010.81openalex-snapshot
Evaluating Complexity, Code Churn, and Developer Activity Metrics as Indicators of Software Vulnerabilities
inferredcites →https://doi.org/10.1109/wcre.2001.957835openalex-snapshot
Identifying similar code with program dependence graphs
inferredcites →https://doi.org/10.1145/1315245.1315311openalex-snapshot
Predicting vulnerable software components
inferredcites →https://doi.org/10.1145/1368088.1368132openalex-snapshot
Scalable detection of semantic clones
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/143062openalex-snapshot
0897915046/International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/1480881.1480917openalex-snapshot
Compositional shape analysis by means of bi-abduction
inferredcites →https://doi.org/10.1145/1858996.1859089openalex-snapshot
Detection of recurring software vulnerabilities
inferredcites →https://doi.org/10.1145/2568225.2568286openalex-snapshot
Achieving accuracy and scalability simultaneously in detecting application clones on Android markets
inferredcites →https://doi.org/10.1145/2857705.2857720openalex-snapshot
Toward Large-Scale Vulnerability Discovery using Machine Learning
inferredcites →https://doi.org/10.1145/2884781.2884804openalex-snapshot
Automatically learning semantic features for defect prediction
inferredcites →https://doi.org/10.1145/2892208.2892235openalex-snapshot
SVF: interprocedural static value-flow analysis in LLVM
inferredcites →https://doi.org/10.1145/2970276.2970326openalex-snapshot
Deep learning code fragments for code clone detection
inferredcites →https://doi.org/10.1145/3106237.3117771openalex-snapshot
Automated identification of security issues from commit messages and bug reports
inferredcites →https://doi.org/10.1145/3134600.3134620openalex-snapshot
Machine-Learning-Guided Typestate Analysis for Static Use-After-Free Detection
inferredcites →https://doi.org/10.1145/3276517openalex-snapshot
DeepBugs: a learning approach to name-based bug detection
inferredcites →https://doi.org/10.1145/3290353openalex-snapshot
code2vec: learning distributed representations of code
inferredcites →https://doi.org/10.1145/3428301openalex-snapshot
Flow2Vec: value-flow-based precise code embedding
inferredcites →https://doi.org/10.1214/aoms/1177729586openalex-snapshot
A Stochastic Approximation Method
inferredcites →https://doi.org/10.14722/ndss.2018.23158openalex-snapshot
VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
inferredcites →https://doi.org/10.1609/aaai.v31i1.10742openalex-snapshot
DeepFix: Fixing Common C Language Errors by Deep Learning
inferredcites →https://doi.org/10.4230/lipics.esem.2026.21openalex-snapshot
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
inferredcites →https://doi.org/10.4230/lipics.stacs.2019.3openalex-snapshot
Algorithmic Data Science (Invited Talk)
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1512.06448openalex-snapshot
SourcererCC: Scaling Code Clone Detection to Big Code
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1811.01287openalex-snapshot
Towards Sparse Hierarchical Graph Classifiers
inferredcites →https://doi.org/10.48550/arxiv.1903.02428openalex-snapshot
Fast Graph Representation Learning with PyTorch Geometric
inferredcites →https://doi.org/10.5281/zenodo.15206559openalex-snapshot
Formal Semantics for Kolmogorov-Arnold Network Representations of Operational Games
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Domain‐specific translation tool from structured text to C source code with code readability enhancement in programmable logic controllers
inferred← citeshttps://doi.org/10.1002/cpe.8292openalex-snapshot
Vulnerability detection based on transformer and high‐quality number embedding
inferred← citeshttps://doi.org/10.1002/smr.2731openalex-snapshot
A hybrid‐ensemble model for software defect prediction for balanced and imbalanced datasets using AI‐based techniques with feature preservation: SMERKP‐XGB
inferred← citeshttps://doi.org/10.1002/smr.70092openalex-snapshot
PSCSelector: Appropriate Program Slicing Criteria Selection Based on Parameter‐Efficient Lightweight LLM
inferred← citeshttps://doi.org/10.1002/smr.70148openalex-snapshot
An Effective Software Vulnerability Detection Method Based on Dual‐Channel Convolutional Neural Network
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VulGraB : Graph ‐embedding‐based code vulnerability detection with bi‐directional gated graph neural network
inferred← citeshttps://doi.org/10.1002/stvr.70022openalex-snapshot
An Approach of Structure‐Enhanced Code‐Centric Graph Learning for Just‐in‐Time Software Vulnerability Detection
inferred← citeshttps://doi.org/10.1007/978-3-030-88806-0_2openalex-snapshot
Hash Consed Points-To Sets
inferred← citeshttps://doi.org/10.1007/978-3-031-37586-6_17openalex-snapshot
CodeGraphSMOTE - Data Augmentation for Vulnerability Discovery
inferred← citeshttps://doi.org/10.1007/978-3-031-53555-0_20openalex-snapshot
Binary Firmware Static Vulnerability Mining Based on Semantic Attributes and Graph Embedding Network
inferred← citeshttps://doi.org/10.1007/978-3-031-65172-4_14openalex-snapshot
VulPrompt: Prompt-Based Vulnerability Detection Using Few-Shot Graph Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-07894-0_13openalex-snapshot
WelkIR: Flow-Sensitive Pre-trained Embeddings from Compiler IR for Vulnerability Detection
inferred← citeshttps://doi.org/10.1007/978-981-92-1030-5_17openalex-snapshot
Adaptive Multi-level Code Graph Pruning with Vulnerability-Sensitive Retention for Robust Vulnerability Detection
inferred← citeshttps://doi.org/10.1007/978-981-92-3391-5_39openalex-snapshot
Source Code Vulnerability Detection Based on Semantic-Structural Synergistic Pyramid Network
inferred← citeshttps://doi.org/10.1007/978-981-92-3447-9_15openalex-snapshot
VulGAT: A Multi-graph Fusion Framework with Attention Mechanism for Code Vulnerability Detection
inferred← citeshttps://doi.org/10.1007/978-981-95-0129-8_25openalex-snapshot
Anomaly Detection Method of Source Code Vulnerability Detection Tools Based on Differential Testing
inferred← citeshttps://doi.org/10.1007/978-981-95-4109-6_20openalex-snapshot
HeteroWaveVD: A Heterogeneous Wavelet-Enhanced Source Code Vulnerability Detection Framework
inferred← citeshttps://doi.org/10.1007/978-981-95-4875-0_25openalex-snapshot
Hierarchical Attention-Guided MAE for Counterfactual Reasoning in Vulnerability Detection
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Model-Based Critical Flight Control Software Code Generation and Verification Method
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Exploring Cross Ecosystem Vulnerability Impacts
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Unified Verification of Neural Networks’ Robustness and Privacy in Computer Vision
inferred← citeshttps://doi.org/10.1007/978-981-99-7584-6_22openalex-snapshot
Vulnerability Detection via Typestate-Guided Code Representation Learning
inferred← citeshttps://doi.org/10.1007/978-981-99-8178-6_18openalex-snapshot
An Interpretable Vulnerability Detection Framework Based on Multi-task Learning
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Detecting Software Vulnerabilities Based on Hierarchical Graph Attention Network
inferred← citeshttps://doi.org/10.1007/s00521-024-09819-3openalex-snapshot
Multi-class vulnerability prediction using value flow and graph neural networks
inferred← citeshttps://doi.org/10.1007/s10207-025-00983-8openalex-snapshot
Large language models based vulnerability detection: How does it enhance performance?
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Detecting code vulnerabilities with heterogeneous GNN training
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bjXnet: an improved bug localization model based on code property graph and attention mechanism
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Vulnerability detection with graph enhancement and global dependency representation learning
inferred← citeshttps://doi.org/10.1007/s10515-025-00550-4openalex-snapshot
GPTVD: vulnerability detection and analysis method based on LLM’s chain of thoughts
inferred← citeshttps://doi.org/10.1007/s10515-026-00590-4openalex-snapshot
Robust vulnerability detection with limited data via training-efficient adversarial reprogramming
inferred← citeshttps://doi.org/10.1007/s10515-026-00617-wopenalex-snapshot
On-demand generation of high-quality software engineering datasets using large language models and ontologies
inferred← citeshttps://doi.org/10.1007/s10515-026-00684-zopenalex-snapshot
Security smell detection in Dockerfiles
inferred← citeshttps://doi.org/10.1007/s10586-025-05506-7openalex-snapshot
GTVD: a multi-level aggregation vulnerability detection method based on full-dependency program graph
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SPVF: security property assisted vulnerability fixing via attention-based models
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LineFlowDP: A Deep Learning-Based Two-Phase Approach for Line-Level Defect Prediction
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Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study
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Learning-based models for vulnerability detection: an extensive study
inferred← citeshttps://doi.org/10.1007/s10664-025-10738-7openalex-snapshot
VulTrLM: LLM-assisted vulnerability detection via AST decomposition and comment enhancement
inferred← citeshttps://doi.org/10.1007/s10664-026-10886-4openalex-snapshot
CMF-Vul: Advancing automated vulnerability detection via contrastive multimodal fusion and challenge-driven representation learning
inferred← citeshttps://doi.org/10.1007/s11219-025-09726-3openalex-snapshot
HPDA: An enhanced GNN-based software vulnerability detection approach by hybrid-scale perception and data augmentation
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Towards combining chain-of-thought and code static analysis for buffer overflow vulnerability detection
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VulDFF: a dual features fusion vulnerability detection model based on CFG
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MDFVD: vulnerability detection via multi-dimensional-feature-based code representation
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RISE: repair-like insertions for stealthy evasion of vulnerability detection models
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A novel approach for software vulnerability detection based on ensemble learning model
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VDTriplet: Vulnerability detection with graph semantics using triplet model
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DeepVulSeeker: A novel vulnerability identification framework via code graph structure and pre-training mechanism
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HGIVul: Detecting inter-procedural vulnerabilities based on hypergraph convolution
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MSGVUL: Multi-semantic integration vulnerability detection based on relational graph convolutional neural networks
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Hidden code vulnerability detection: A study of the Graph-BiLSTM algorithm
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Graph-based explainable vulnerability prediction
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A dual graph neural networks model using sequence embedding as graph nodes for vulnerability detection
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DFL: A DOM sample generation oriented fuzzing framework for browser rendering engines
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Vulnerability detection with feature fusion and learnable edge-type embedding graph neural network
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A software vulnerability detection method based on multi-modality with unified processing
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Multi-source cross-domain vulnerability detection based on code pre-trained model
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Vulnerability detection with Graph Attention Network and Metric Learning
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VulTriNet: A software vulnerability detection method based on tri-channel network
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Artificial intelligence for source code understanding tasks: A systematic mapping study
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UF-CDDFM: A unified framework for code defect detection using multi-modal inputs and few-shot learning
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VulSEG: Enhanced graph-based vulnerability detection system with advanced text embedding
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VDMFF: Triple-modal feature fusion for enhanced source code vulnerability detection
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HardVD: High-capacity cross-modal adversarial reprogramming for data-efficient vulnerability detection
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CodeSAGE: A multi-feature fusion vulnerability detection approach using code attribute graphs and attention mechanisms
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Exploring the ransomware ecosystem and the active defense concept: Review of attacks and defense
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ReSLC: Defending backdoor attacks on intelligent vulnerability detection via redundant semantic LLM compression
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Reparameterizing adversarial reprogramming in low-dimensional subspace for efficient software vulnerability detection
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A memory-related vulnerability detection approach based on vulnerability model with Petri Net
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Multi-triage: A multi-task learning framework for bug triage
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CSGVD: A deep learning approach combining sequence and graph embedding for source code vulnerability detection
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Learning a holistic and comprehensive code representation for code summarization
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Static vulnerability detection based on class separation
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JITGNN: A deep graph neural network framework for Just-In-Time bug prediction
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GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning
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CSVD-TF: Cross-project software vulnerability detection with TrAdaBoost by fusing expert metrics and semantic metrics
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A vulnerability severity prediction method based on bimodal data and multi-task learning
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A generalized, rule-based method for the detection of intermittent faults in software programs
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Enhancing concurrency vulnerability detection through AST-based static fuzz mutation
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Towards cost-efficient vulnerability detection with cross-modal adversarial reprogramming
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Human-understandable explanation for software vulnerability prediction
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Learning never stops: Improving software vulnerability type identification via incremental learning
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Towards higher quality software vulnerability data using LLM-based patch filtering
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112595openalex-snapshot
VulDIAC: Vulnerability detection and interpretation based on augmented CFG and causal attention learning
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112756openalex-snapshot
RLV: LLM-based vulnerability detection by retrieving and refining contextual information
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.108293openalex-snapshot
Domain knowledge-based security bug reports prediction
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116353openalex-snapshot
Vul-CGBT: Enhancing code vulnerability detection via contrastive semantic learning and graph embedding
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129695openalex-snapshot
Two-tier deep and machine learning approach optimized by adaptive multi-population firefly algorithm for software defects prediction
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134966openalex-snapshot
MMVD: A method for source code vulnerability detection based on adaptive propagation gain and multimodal interaction
inferred← citeshttps://doi.org/10.1016/j.scico.2025.103357openalex-snapshot
Detecting duplicate vulnerability records across databases
inferred← citeshttps://doi.org/10.1016/j.scico.2026.103443openalex-snapshot
DATVD: A novel vulnerability detection method based on dynamic attention and hybrid convolutional pooling
inferred← citeshttps://doi.org/10.1016/j.scico.2026.103491openalex-snapshot
Software vulnerability detection via multimodal retrieval and hierarchical decision making
inferred← citeshttps://doi.org/10.1016/j.seta.2022.102986openalex-snapshot
Energy efficient and optimized genetic algorithm for software effort estimator using double hidden layer bi-directional associative memory
inferred← citeshttps://doi.org/10.1016/j.sysarc.2026.103722openalex-snapshot
When fixes teach: Repair-aware contrastive learning for optimization-resilient binary vulnerability detection
inferred← citeshttps://doi.org/10.1038/s41598-025-31209-5openalex-snapshot
An integrated graph neural network model for joint software defect prediction and code quality assessment
inferred← citeshttps://doi.org/10.1049/2024/4313185openalex-snapshot
VulMPFF: A Vulnerability Detection Method for Fusing Code Features in Multiple Perspectives
inferred← citeshttps://doi.org/10.1049/sfw2.12064openalex-snapshot
A systematic mapping study of source code representation for deep learning in software engineering
inferred← citeshttps://doi.org/10.1049/sfw2.12066openalex-snapshot
A deep learning‐based approach for software vulnerability detection using code metrics
inferred← citeshttps://doi.org/10.1080/1206212x.2025.2452882openalex-snapshot
Application of perceptual graph neural network intelligent algorithm in software testing platform
inferred← citeshttps://doi.org/10.1080/23311916.2023.2221962openalex-snapshot
A new approach to software vulnerability detection based on CPG analysis
inferred← citeshttps://doi.org/10.1093/comjnl/bxad080openalex-snapshot
CDNM: Clustering-Based Data Normalization Method For Automated Vulnerability Detection
inferred← citeshttps://doi.org/10.1093/comjnl/bxae041openalex-snapshot
Vulnerability Localization Based On Intermediate Code Representation and Feature Fusion
inferred← citeshttps://doi.org/10.1109/access.2022.3191115openalex-snapshot
Developer’s Roadmap to Design Software Vulnerability Detection Model Using Different AI Approaches
inferred← citeshttps://doi.org/10.1109/access.2023.3338162openalex-snapshot
Software Vulnerability Detection Using Informed Code Graph Pruning
inferred← citeshttps://doi.org/10.1109/access.2024.3432323openalex-snapshot
CODE-SMASH: Source-Code Vulnerability Detection Using Siamese and Multi-Level Neural Architecture
inferred← citeshttps://doi.org/10.1109/access.2024.3467180openalex-snapshot
Securing Code With Context: Enhancing Vulnerability Detection Through Contextualized Graph Representations
inferred← citeshttps://doi.org/10.1109/access.2024.3474857openalex-snapshot
Similarity-Based Source Code Vulnerability Detection Leveraging Transformer Architecture: Harnessing Cross- Attention for Hierarchical Analysis
inferred← citeshttps://doi.org/10.1109/access.2024.3479237openalex-snapshot
On the Code Vulnerability Detection Based on Deep Learning: A Comparative Study
inferred← citeshttps://doi.org/10.1109/access.2025.3588950openalex-snapshot
Transformer-Based Vulnerability Detection in IoT Firmware Binaries Using Opcode Sequences
inferred← citeshttps://doi.org/10.1109/aiahpc66801.2025.11290031openalex-snapshot
BMGANet: Implementation of a Multi-Granularity Attention Network for Vulnerability Detection
inferred← citeshttps://doi.org/10.1109/aibiec68052.2025.11473598openalex-snapshot
GAE-HVD: Graph Autoencoder-based Hybrid Vulnerability Detection via Static-Dynamic Program Analysis
inferred← citeshttps://doi.org/10.1109/ainit65432.2025.11035850openalex-snapshot
VVF-AI: A Vulnerability Verification Framework Based on AI-Agent
inferred← citeshttps://doi.org/10.1109/aiotc66747.2025.11198685openalex-snapshot
DeepTriFix: An LLM-Based Code Defect Detection Framework Guided Abstract Syntax Tree and Prompt Reasoning
inferred← citeshttps://doi.org/10.1109/apsec60848.2023.00036openalex-snapshot
Improving Vulnerability Detection with Hybrid Code Graph Representation
inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00109openalex-snapshot
It Only Gets Worse: Revisiting DL-Based Vulnerability Detectors from a Practical Perspective
inferred← citeshttps://doi.org/10.1109/ase56229.2023.00073openalex-snapshot
MalWuKong: Towards Fast, Accurate, and Multilingual Detection of Malicious Code Poisoning in OSS Supply Chains
inferred← citeshttps://doi.org/10.1109/compsac69091.2026.00060openalex-snapshot
REE: A Cooperative Framework for Robust and Explainable Vulnerability Detection
inferred← citeshttps://doi.org/10.1109/conit65521.2025.11167066openalex-snapshot
Software Vulnerability Detection Tool Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1109/csce60160.2023.00368openalex-snapshot
Harnessing the Efficiency of Reformers to Detect Software Vulnerabilities
inferred← citeshttps://doi.org/10.1109/csr57506.2023.10224924openalex-snapshot
VulDetect: A novel technique for detecting software vulnerabilities using Language Models
inferred← citeshttps://doi.org/10.1109/ddecs57882.2023.10138942openalex-snapshot
Evaluating the Hardware Performance Counters of an Xtensa Virtual Prototype
inferred← citeshttps://doi.org/10.1109/dependsys64276.2024.00012openalex-snapshot
VulnSlicer: A Java Vulnerability Analysis Tool Based on Vulnerability Slice
inferred← citeshttps://doi.org/10.1109/dsa52907.2021.00055openalex-snapshot
A Domain Knowledge-Guided Lightweight Approach for Security Bug Reports Prediction
inferred← citeshttps://doi.org/10.1109/dsn-w58399.2023.00025openalex-snapshot
IVSign: Interpretable Vulnerability Signature via Code Embedding and Static Analysis
inferred← citeshttps://doi.org/10.1109/ecai69016.2026.11613725openalex-snapshot
ZeroGuard: A Multi-Agent Zero-Trust Framework for Autonomous IaC Security Remediation
inferred← citeshttps://doi.org/10.1109/esem56168.2023.10304803openalex-snapshot
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code
inferred← citeshttps://doi.org/10.1109/esem64174.2025.00012openalex-snapshot
SIExVulTS: Sensitive Information Exposure Vulnerability Detection System Using Transformer Models and Static Analysis
inferred← citeshttps://doi.org/10.1109/esmarta62850.2024.10638858openalex-snapshot
Exploring Datasets In Software Vulnerability Analysis: A Review
inferred← citeshttps://doi.org/10.1109/eurosp53844.2022.00013openalex-snapshot
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis
inferred← citeshttps://doi.org/10.1109/eurosp57164.2023.00038openalex-snapshot
Hunting for Truth: Analyzing Explanation Methods in Learning-based Vulnerability Discovery
inferred← citeshttps://doi.org/10.1109/eurospw61312.2024.00066openalex-snapshot
Position: On Potential Malware & New Attack Vectors for Internet-of-Brains (IoB)
inferred← citeshttps://doi.org/10.1109/ic-icns68863.2026.11537431openalex-snapshot
A Comparative Analysis of CodeBERT, LSTM, and GRU Deep Learning Models for Vulnerability Detection in C/C++
inferred← citeshttps://doi.org/10.1109/icac65379.2025.11196569openalex-snapshot
IFSVD: Integrating function and slice level features for interpretable vulnerability detection
inferred← citeshttps://doi.org/10.1109/icftic64248.2024.10913325openalex-snapshot
Enhancing Source Code Vulnerability Detection Using Flattened Code Graph Structures
inferred← citeshttps://doi.org/10.1109/icicacs60521.2024.10499176openalex-snapshot
Automatic Software Vulnerability Analysis through a Multi-Head Attention and Long Short-Term Memory Approach
inferred← citeshttps://doi.org/10.1109/icict4sd59951.2023.10303562openalex-snapshot
Impact of Centrality on Automated Vulnerability Detection Using Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/icisc65841.2025.11188135openalex-snapshot
GNN-Based Code Vulnerability Detection Using Enriched Code Graphs
inferred← citeshttps://doi.org/10.1109/icmc60390.2024.00038openalex-snapshot
An Industrial Translation Tool from Structured Text to C Source Code for Software Services
inferred← citeshttps://doi.org/10.1109/icmcsi67283.2026.11412502openalex-snapshot
A Cybersecurity - Driven Software Metrics Framework for Continuos Risk Quantification and Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icmnwc63764.2024.10871955openalex-snapshot
Software Fault Detection Based on Program Static Analysis and Fault Tree
inferred← citeshttps://doi.org/10.1109/icpc66645.2025.00015openalex-snapshot
A Slicing-Based Approach for Detecting and Patching Vulnerable Code Clones
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00188openalex-snapshot
An Empirical Study of Deep Learning Models for Vulnerability Detection
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00190openalex-snapshot
Enhancing Deep Learning-based Vulnerability Detection by Building Behavior Graph Model
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00009openalex-snapshot
Enhancing Fault Localization in Industrial Software Systems via Contrastive Learning
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00194openalex-snapshot
Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection Solutions
inferred← citeshttps://doi.org/10.1109/icsip57908.2023.10270867openalex-snapshot
CVulDetector: Cross-domain Vulnerability Detection Based on Transfer Learning
inferred← citeshttps://doi.org/10.1109/icsme58944.2024.00033openalex-snapshot
Improving Long-Tail Vulnerability Detection Through Data Augmentation Based on Large Language Models
inferred← citeshttps://doi.org/10.1109/icsme58944.2024.00060openalex-snapshot
BABEL: A Novel Software Vulnerability Detection Framework for Breaking Language Barriers
inferred← citeshttps://doi.org/10.1109/icsmile69273.2026.11519287openalex-snapshot
Multi-Model Text Classification for Predicting Security Vulnerabilities in Python Source Code
inferred← citeshttps://doi.org/10.1109/iiai-aai-winter61682.2023.00016openalex-snapshot
Prototyping an Agent for Dynamic Generation of Attack-Payloads in Web Application Vulnerability Assessment
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892280openalex-snapshot
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227323openalex-snapshot
Beyond accuracy, VuLocator can further locate the vulnerable code lines for GNN-based detectors
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229257openalex-snapshot
SRVul: A High-Quality Self-Restrained Vulnerable Code Dataset for Vulnerability Detection
inferred← citeshttps://doi.org/10.1109/infocomwkshps61880.2024.10620804openalex-snapshot
LLM-CloudSec: Large Language Model Empowered Automatic and Deep Vulnerability Analysis for Intelligent Clouds
inferred← citeshttps://doi.org/10.1109/iscc58397.2023.10218000openalex-snapshot
Which2learn: A Vulnerability Dataset Complexity Measurement Method for Data-Driven Detectors
inferred← citeshttps://doi.org/10.1109/isctech60480.2023.00013openalex-snapshot
A Multi-code Representation Fusion Smart Contract Vulnerability Line Detection Method Based on Graph Neural Network
inferred← citeshttps://doi.org/10.1109/issre52982.2021.00063openalex-snapshot
Nondeterministic Impact of CPU Multithreading on Training Deep Learning Systems
inferred← citeshttps://doi.org/10.1109/issre59848.2023.00042openalex-snapshot
Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet?
inferred← citeshttps://doi.org/10.1109/issre62328.2024.00019openalex-snapshot
S2Vul: Vulnerability Analysis Based on Self-supervised Information Integration
inferred← citeshttps://doi.org/10.1109/issre62328.2024.00021openalex-snapshot
Fine-Tuning Pre-trained Model with Optimizable Prompt Learning for Code Vulnerability Detection
inferred← citeshttps://doi.org/10.1109/jeeit58638.2023.10185860openalex-snapshot
VulDefend: A Novel Technique based on Pattern-exploiting Training for Detecting Software Vulnerabilities Using Language Models
inferred← citeshttps://doi.org/10.1109/jiot.2024.3381641openalex-snapshot
EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices
inferred← citeshttps://doi.org/10.1109/jiot.2025.3531512openalex-snapshot
ChatDL: An LLM-Based Defect Localization Approach for Software in IIoT Flexible Manufacturing
inferred← citeshttps://doi.org/10.1109/jiot.2026.3697600openalex-snapshot
VulKnow: Enhancing Vulnerability Detection With Structured Knowledge and Large Language Models
inferred← citeshttps://doi.org/10.1109/meco62516.2024.10577852openalex-snapshot
Smart Contract Vulnerability Detection Using Deep Learning Algorithms on EVM bytecode
inferred← citeshttps://doi.org/10.1109/mpcit62449.2024.10892660openalex-snapshot
CrossDeep: A Hybrid Approach For Cross Version Binary Code Similarity Detection
inferred← citeshttps://doi.org/10.1109/msn63567.2024.00170openalex-snapshot
A Dual Convolution Hybrid Multi-Model for Code Vulnerability Detection
inferred← citeshttps://doi.org/10.1109/msr52588.2021.00068openalex-snapshot
On the Effectiveness of Deep Vulnerability Detectors to Simple Stupid Bug Detection
inferred← citeshttps://doi.org/10.1109/msr59073.2023.00052openalex-snapshot
MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection
inferred← citeshttps://doi.org/10.1109/ngdn61651.2024.10744066openalex-snapshot
ECET: Enhanced Vulnerability Detection through Code Embedding Techniques
inferred← citeshttps://doi.org/10.1109/nnice64954.2025.11063870openalex-snapshot
VulGTDA: A Software Vulnerability Detection Method via Graph Transformer and Domain Adaptation
inferred← citeshttps://doi.org/10.1109/raid67961.2025.00024openalex-snapshot
VulCodeMark: Adaptive Watermarking for Vulnerability Datasets Protection
inferred← citeshttps://doi.org/10.1109/saner53432.2022.00114openalex-snapshot
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements
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