| A New Deep Boosted CNN and Ensemble Learning based IoT Malware Detection | Dec 15, 2022 | Ensemble LearningMalware Analysis | —Unverified | 0 |
| FeatureAnalytics: An approach to derive relevant attributes for analyzing Android Malware | Sep 17, 2018 | Attributefeature selection | —Unverified | 0 |
| Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering | Jun 9, 2024 | Malware Analysis | —Unverified | 0 |
| Compiler Provenance Recovery for Multi-CPU Architectures Using a Centrifuge Mechanism | Nov 22, 2022 | CPUMalware Analysis | —Unverified | 0 |
| Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware | Jan 8, 2025 | Malware AnalysisPrompt Engineering | —Unverified | 0 |
| Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges | Sep 9, 2024 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
| GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection | Sep 29, 2021 | Contrastive LearningDenoising | —Unverified | 0 |
| From Malware Samples to Fractal Images: A New Paradigm for Classification. (Version 2.0, Previous version paper name: Have you ever seen malware?) | Dec 5, 2022 | ClassificationMalware Analysis | —Unverified | 0 |
| Boosting Neural Networks to Decompile Optimized Binaries | Jan 3, 2023 | Graph Neural NetworkMachine Translation | —Unverified | 0 |
| An Efficient Multi-Step Framework for Malware Packing Identification | Aug 17, 2022 | feature selectionMalware Analysis | —Unverified | 0 |
