| Large Language Models for Cyber Security: A Systematic Literature Review | May 8, 2024 | Explainable ModelsIntrusion Detection | CodeCode Available | 0 | 5 |
| Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis | Jan 27, 2020 | BIG-bench Machine LearningInterpretable Machine Learning | CodeCode Available | 0 | 5 |
| Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery | Jun 15, 2021 | BIG-bench Machine LearningMalware Analysis | CodeCode Available | 0 | 5 |
| Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network | Dec 24, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Revisiting Deep Learning for Variable Type Recovery | Apr 7, 2023 | DecoderDeep Learning | CodeCode Available | 0 | 5 |
| SAFE: Self-Attentive Function Embeddings for Binary Similarity | Nov 13, 2018 | Malware AnalysisVulnerability Detection | CodeCode Available | 0 | 5 |
| KiloGrams: Very Large N-Grams for Malware Classification | Aug 1, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Efficient Malware Analysis Using Metric Embeddings | Dec 5, 2022 | AttributeMalware Analysis | —Unverified | 0 | 0 |
| Dual Explanations via Subgraph Matching for Malware Detection | Apr 29, 2025 | Malware AnalysisMalware Detection | —Unverified | 0 | 0 |
| Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization | Oct 3, 2024 | Anomaly DetectionAttribute | —Unverified | 0 | 0 |
