Vulnerability detection via multimodal learning: Datasets and analysis X Zhou, RM Verma Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022 | 17 | 2022 |
Phishing Sites Detection From a Web Developer’s Perspective Using Machine Learning X Zhou, R Verma Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020 | 12 | 2020 |
AviationGPT: A large language model for the aviation domain L Wang, J Chou, A Tien, X Zhou, D Baumgartner AIAA AVIATION FORUM AND ASCEND 2024, 4250, 2024 | 7 | 2024 |
PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing V Zeng, X Zhou, S Baki, RM Verma Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020 | 6 | 2020 |
Using neural architecture search for improving software flaw detection in multimodal deep learning models A Cooper, X Zhou, S Heidbrink, DM Dunlavy arXiv preprint arXiv:2009.10644, 2020 | 4 | 2020 |
SAGE Intrusion Detection System: Sensitivity Analysis Guided Explainability for Machine Learning. MR Smith, E Acquesta, A Ames, AN Carey, CR Cuellar, RV Field, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 3 | 2021 |
Joint Analysis of Program Data Representations using Machine Learning for Improved Software Assurance and Development Capabilities S Heidbrink, KN Rodhouse, D Dunlavy, A Cooper, X Zhou Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 3 | 2020 |
Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection MR Smtith, SJ Verzi, NT Johnson, X Zhou, K Khanna, S Quynn, ... 2021 IEEE International Conference on Big Data (Big Data), 2021 | 2 | 2021 |
All Models are Wrong, but Some (times) are Useful: Evaluating when Machine Learning Models are Useful for Detecting Novel Malware in the Wild. M Smith, R Krishnakumar, J Lubars, S Verzi, X Zhou, A Goyal Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | 1 | 2022 |
Software Vulnerability Detection via Multimodal Deep Learning X Zhou, RM Verma International Workshop on Security and Trust Management, 85-103, 2022 | 1 | 2022 |
MalGen: Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors. M Smith, A Carbajal, E Domschot, NT Johnson, A Goyal, C Lamb, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2022 | | 2022 |