Ma M, Han L, Zhou C. Research and application of artificial intelligence based webshell detection model: A literature review[J]. arXiv preprint arXiv:2405.00066, 2024.
Ma M, Han L, Zhou C. Research and application of Transformer based anomaly detection model: A literature review[J]. arXiv preprint arXiv:2402.08975, 2024.
Ma M, Han L, Zhou C. Large Language Models are Few-shot Generators: Proposing Hybrid Prompt Algorithm To Generate Webshell Escape Samples[J]. arXiv preprint arXiv:2402.07408, 2024.
Ma M, Han L, Zhou C. BTAD: A binary transformer deep neural network model for anomaly detection in multivariate time series data[J]. Advanced Engineering Informatics, 2023, 56: 101949.
ZHU Lina, MA Mingrui, ZHU Dongzhao. Detection Method for C Language Family Based on Graph Neural Network and Generic Vulnerability Analysis Framework[J]. Netinfo Security, 2022, 22(10): 59-68.
Ma M, Han L, Qian Y. CVDF DYNAMIC—A Dynamic Fuzzy Testing Sample Generation Framework Based on BI-LSTM and Genetic Algorithm[J]. Sensors, 2022, 22(3): 1265.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, California