Published in Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security, 2022
Keywords: Vulnerability Detection, Multimodal Learning
Recommended citation: Xin Zhou, Rakesh M Verma. " Vulnerability Detection via Multimodal Learning: Datasets and Analysis " AsiaCCS, 2022 . https://doi.org/10.1145/3488932.3527288
Published in IEEE International Conference on Big Data, 2021, 2021
Keywords: generative models , machine learning , deep learning , malware detection
Recommended citation: M. Smith, S. Verzi, N. Johnson, X. Zhou, K. Khanna, S. Quynn, and R. Krishnakumar.. " Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection " IEEE International Conference on Big Data, 2021 . https://doi.org/10.1109/BigData52589.2021.9671886
Published in Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020
Keywords: PhishBench, Phishing Detection
Recommended citation: Victor Zeng, Xin Zhou, Shahryar Baki, Rakesh M Verma. " PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing. " Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security. https://dl.acm.org/doi/abs/10.1145/3372297.3420017
Published in arXiv, 2020
Keywords: Neural Architecture Search, Software Flaw Detection, Multimodal Deep Learning
Recommended citation: Alexis Cooper, Xin Zhou, Scott Heidbrink, Daniel M Dunlavy. "Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models. " arXiv, 2020. https://arxiv.org/pdf/2009.10644.pdf
Published in Proceedings of the 53rd Hawaii International Conference on System Science, 2020, 2020
Keywords: Phishing Detection, Machine Learning, Cyber Threat Intelligence and Analytics
Recommended citation: Xin Zhou, Rakesh M. Verma. "Phishing Sites Detection from a Web Developer’s Perspective Using Machine Learning" Proceedings of the 53rd Hawaii International Conference on System Science, 2020. http://128.171.57.22/handle/10125/64536