Weifeng Li
Orcid: 0000-0002-2105-3596Affiliations:
- University of Georgia, Management Information Systems, Athens, Georgia
- University of Arizona, Department of Management Information Systems, Aritificial Intelligence Lab, Tucson, AZ, USA
According to our database1,
Weifeng Li
authored at least 26 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Expert Syst. Appl., March, 2024
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach.
CoRR, 2024
2023
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence.
ACM Trans. Manag. Inf. Syst., 2022
An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence.
IEEE Trans. Dependable Secur. Comput., 2022
Assessing and Enhancing Adversarial Robustness of Predictive Analytics: An Empirically Tested Design Framework.
J. Manag. Inf. Syst., 2022
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
2021
Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces.
Proceedings of the IEEE Security and Privacy Workshops, 2021
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021
2020
A Generative Adversarial Learning Framework for Breaking Text-Based CAPTCHA in the Dark Web.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020
Identifying, Collecting, and Monitoring Personally Identifiable Information: From the Dark Web to the Surface Web.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020
Linking Personally Identifiable Information from the Dark Web to the Surface Web: A Deep Entity Resolution Approach.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
2019
Proceedings of the 40th International Conference on Information Systems, 2019
2018
Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications.
IEEE Trans. Knowl. Data Eng., 2018
2016
Identifying and Profiling Key Sellers in Cyber Carding Community: AZSecure Text Mining System.
J. Manag. Inf. Syst., 2016
Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016
Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016
Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016
Identifying High Quality Carding Services in Underground Economy using Nonparametric Supervised Topic Model.
Proceedings of the International Conference on Information Systems, 2016
2015
Proceedings of the 2015 IEEE International Conference on Intelligence and Security Informatics, 2015
2014
Identifying Top Sellers In Underground Economy Using Deep Learning-Based Sentiment Analysis.
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014