| Deep learning guided Android malware and anomaly detection | Oct 23, 2019 | Anomaly DetectionCPU | —Unverified | 0 |
| KiloGrams: Very Large N-Grams for Malware Classification | Aug 1, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Dynamic Malware Analysis with Feature Engineering and Feature Learning | Jul 17, 2019 | Feature EngineeringMalware Analysis | CodeCode Available | 0 |
| The Curious Case of Machine Learning In Malware Detection | May 18, 2019 | BIG-bench Machine LearningMalware Analysis | —Unverified | 0 |
| To believe or not to believe: Validating explanation fidelity for dynamic malware analysis | Apr 30, 2019 | ClassificationGeneral Classification | —Unverified | 0 |
| Malware Detection using Machine Learning and Deep Learning | Apr 4, 2019 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 |
| AndrODet: An Adaptive Android Obfuscation Detector | Jan 1, 2019 | Android Malware DetectionMalware Analysis | CodeCode Available | 0 |
| A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code Analysis | Dec 23, 2018 | Malware Analysis | CodeCode Available | 0 |
| Towards resilient machine learning for ransomware detection | Dec 21, 2018 | BIG-bench Machine LearningGenerative Adversarial Network | —Unverified | 0 |
| Fuzzy Hashing as Perturbation-Consistent Adversarial Kernel Embedding | Dec 17, 2018 | Malware Analysis | —Unverified | 0 |
