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VulANalyzeR: Explainable Binary Vulnerability Detection with Multi-task Learning and Attentional Graph Convolution

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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/spy2.100openalex-snapshot
VYPER: Vulnerability detection in binary code
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1023/a:1007379606734openalex-snapshot
Multitask Learning
inferredcites →https://doi.org/10.1109/access.2020.2965726openalex-snapshot
A Modified Maximal Divergence Sequential Auto-Encoder and Time Delay Neural Network Models for Vulnerable Binary Codes Detection
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/sai33325.2014openalex-snapshot
2014 Science and Information Conference
inferredcites →https://doi.org/10.1109/sp.2012.31openalex-snapshot
Unleashing Mayhem on Binary Code
inferredcites →https://doi.org/10.1109/tkde.2018.2878247openalex-snapshot
Deep Inductive Graph Representation Learning
inferredcites →https://doi.org/10.1109/tkde.2019.2961882openalex-snapshot
Learning Graph Representation With Generative Adversarial Nets
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1145/143062openalex-snapshot
0897915046/International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/2970276.2970326openalex-snapshot
Deep learning code fragments for code clone detection
inferredcites →https://doi.org/10.1145/2980983.2908126openalex-snapshot
Statistical similarity of binaries
inferredcites →https://doi.org/10.1145/3133956.3134018openalex-snapshot
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
inferredcites →https://doi.org/10.1145/3196884openalex-snapshot
VULCON
inferredcites →https://doi.org/10.1145/3238147.3240480openalex-snapshot
VulSeeker: a semantic learning based vulnerability seeker for cross-platform binary
inferredcites →https://doi.org/10.1145/3442588openalex-snapshot
IntDroid
inferredcites →https://doi.org/10.1145/3468264.3468597openalex-snapshot
Vulnerability detection with fine-grained interpretations
inferredcites →https://doi.org/10.1162/089976600300015015openalex-snapshot
Learning to Forget: Continual Prediction with LSTM
inferredcites →https://doi.org/10.1186/s42400-021-00088-4openalex-snapshot
Bin2vec: learning representations of binary executable programs for security tasks
inferredcites →https://doi.org/10.3390/app9194086openalex-snapshot
Instruction2vec: Efficient Preprocessor of Assembly Code to Detect Software Weakness with CNN

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-70378-2_1openalex-snapshot
VulEXplaineR: XAI for Vulnerability Detection on Assembly Code
inferred← citeshttps://doi.org/10.1007/978-3-031-87775-9_2openalex-snapshot
Leveraging Open-Source LLMs for Zero-Shot Vulnerability Detection: A Comparative Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-09694-4_27openalex-snapshot
Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code
inferred← citeshttps://doi.org/10.1007/978-3-032-14186-6_34openalex-snapshot
Integration of Evolutionary Technique with Quantum-Inspired Approach for Designing Reliable Cryptographic Systems
inferred← citeshttps://doi.org/10.1007/978-981-96-4566-4_11openalex-snapshot
Automatic Software Vulnerability Detection in Binary Code
inferred← citeshttps://doi.org/10.1007/s13198-025-03024-8openalex-snapshot
Implementation of new normalisation-based feature transformation methodology for multi-task learning using residual TCN with multi-channel and spatial attention
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110814openalex-snapshot
A high-dimensional data-driven approach for enhancing cyber-physical attack detection in PV-connected distribution power grids using deep Q-networks
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107959openalex-snapshot
SABLM-VD: Vulnerability detection with a semantic-aware binary language model
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112658openalex-snapshot
PreMulBVD: A pretraining-based multi-modal binary vulnerability detection framework
inferred← citeshttps://doi.org/10.1016/j.jss.2026.112783openalex-snapshot
ParserHunter: Identify parsing functions in binary code
inferred← citeshttps://doi.org/10.1016/j.jss.2026.112933openalex-snapshot
BinSleuth: Scalable vulnerability discovery in binaries via automated source identification and path optimization
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109069openalex-snapshot
Transfer learning strategies for vulnerability detection in software binaries
inferred← citeshttps://doi.org/10.1038/s41598-024-56871-zopenalex-snapshot
Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction
inferred← citeshttps://doi.org/10.1080/09540091.2024.2447373openalex-snapshot
Optimising source code vulnerability detection using deep learning and deep graph network
inferred← citeshttps://doi.org/10.1109/access.2025.3565980openalex-snapshot
TEDVIL: Leveraging Transformer-Based Embeddings for Vulnerability Detection in Lifted Code
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00060openalex-snapshot
BinStruct: Binary Structure Recovery Combining Static Analysis and Semantics
inferred← citeshttps://doi.org/10.1109/asens64990.2025.11011273openalex-snapshot
A Stripped Binary Code Vulnerability Detection Method Based on Sensitive Function Identification
inferred← citeshttps://doi.org/10.1109/cars61786.2024.10778724openalex-snapshot
Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code
inferred← citeshttps://doi.org/10.1109/ddcls66240.2025.11065496openalex-snapshot
Design of Network Communication Security Scheme Based on Dynamic Trust Estimation
inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11292510openalex-snapshot
Retracted: Confidential AI Using Homomorphic Encryption-Based Deep Learning for Secure Data Analytics
inferred← citeshttps://doi.org/10.1109/icse-fose59343.2023.00010openalex-snapshot
Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps
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/rasse64357.2024.10773827openalex-snapshot
CSGraph2Vec: Distributed Graph-Based Representation Learning for Assembly Functions
inferred← citeshttps://doi.org/10.1109/rcsm67767.2025.11507266openalex-snapshot
Obfuscation Resilient Android Malware Detection using GCN for cyber-physical devices
inferred← citeshttps://doi.org/10.1109/tr.2024.3509414openalex-snapshot
Guardians of the Ledger: Protecting Decentralized Exchanges From State Derailment Defects
inferred← citeshttps://doi.org/10.1145/3674805.3686670openalex-snapshot
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
inferred← citeshttps://doi.org/10.1145/3699711openalex-snapshot
A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning
inferred← citeshttps://doi.org/10.1145/3728903openalex-snapshot
Robust Vulnerability Detection across Compilations: LLVM-IR vs. Assembly with Transformer Model
inferred← citeshttps://doi.org/10.1186/s42400-025-00518-7openalex-snapshot
Source code vulnerability detection based on deep learning: a review
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5975490/v1openalex-snapshot
Machine Learning Approaches in Software Vulnerability Detection: A Systematic Review and Analysis of Contemporary Methods
inferred← citeshttps://doi.org/10.2139/ssrn.5391866openalex-snapshot
Modav-Nl: Improving Vulnerability Detection Through Multi-Objective Domain Adaptation and Natural Language Explanations
inferred← citeshttps://doi.org/10.23919/cycon65856.2025.11103589openalex-snapshot
Vulnerability Patch Verification for Military Software Systems Through AI-Driven Code-Level Rule Generation
inferred← citeshttps://doi.org/10.3390/electronics12102309openalex-snapshot
The Current Research Status of AI-Based Network Security Situational Awareness
inferred← citeshttps://doi.org/10.3390/electronics15163666openalex-snapshot
BinVulRAG: Knowledge-Level Retrieval-Augmented Detection of Known Vulnerabilities in Binary Functions
inferred← citeshttps://doi.org/10.3390/make6020050openalex-snapshot
Assessment of Software Vulnerability Contributing Factors by Model-Agnostic Explainable AI
inferred← citeshttps://doi.org/10.70675/e3673de3zafa5z48c8z8ff3z3af2366dd23copenalex-snapshot
Hybrid security solutions for IoT devices
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