Descriptive Analytics: Examining Expert Hackers in Web Forums. - Ahmed Abbasi; Weifeng Li 002; Victor A. Benjamin; Shiyu Hu; Hsinchun Chen (JISIC, 2014)

Identifying Top Sellers In Underground Economy Using Deep Learning-Based Sentiment Analysis. - Weifeng Li 002; Hsinchun Chen (JISIC, 2014)

Exploring threats and vulnerabilities in hacker web: Forums, IRC and carding shops. - Victor A. Benjamin; Weifeng Li 002; Thomas Holt; Hsinchun Chen (ISI, 2015)

Identifying High Quality Carding Services in Underground Economy using Nonparametric Supervised Topic Model. - Weifeng Li 002; Junming Yin; Hsinchun Chen (ICIS, 2016)

Exploring key hackers and cybersecurity threats in Chinese hacker communities. - Zhen Fang; Xinyi Zhao; Qiang Wei 001; Guoqing Chen; Yong Zhang 002; Chunxiao Xing; Weifeng Li 002; Hsinchun Chen (ISI, 2016)

Targeting key data breach services in underground supply chain. - Weifeng Li 002; Junming Yin; Hsinchun Chen (ISI, 2016)

Chinese underground market jargon analysis based on unsupervised learning. - Kangzhi Zhao; Yong Zhang 002; Chunxiao Xing; Weifeng Li 002; Hsinchun Chen (ISI, 2016)

Identifying and Profiling Key Sellers in Cyber Carding Community: AZSecure Text Mining System. - Weifeng Li 002; Hsinchun Chen; Jay F. Nunamaker Jr. (J. Manag. Inf. Syst., 2016)

Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications. - Weifeng Li 002; Junming Yin; Hsinchun Chen (IEEE Trans. Knowl. Data Eng., 2018)

Towards Deep Learning Interpretability: A Topic Modeling Approach. - Yidong Chai; Weifeng Li 002 (ICIS, 2019)

Linking Personally Identifiable Information from the Dark Web to the Surface Web: A Deep Entity Resolution Approach. - Fang Yu Lin; Yizhi Liu; Mohammadreza Ebrahimi 001; Zara Ahmad-Post; James Lee Hu; Jingyu Xin; Sagar Samtani; Weifeng Li 002; Hsinchun Chen (ICDM (Workshops), 2020)

Detecting Cyber-Adversarial Videos in Traditional Social media. - Bingyan Du; Pranay Singhal; Victor A. Benjamin; Weifeng Li 002 (ISI, 2020)

Identifying, Collecting, and Monitoring Personally Identifiable Information: From the Dark Web to the Surface Web. - Yizhi Liu; Fang Yu Lin; Zara Ahmad-Post; Mohammadreza Ebrahimi 001; Ning Zhang; James Lee Hu; Jingyu Xin; Weifeng Li 002; Hsinchun Chen (ISI, 2020)

A Generative Adversarial Learning Framework for Breaking Text-Based CAPTCHA in the Dark Web. - Ning Zhang; Mohammadreza Ebrahimi 001; Weifeng Li 002; Hsinchun Chen (ISI, 2020)

Exploring Differences Among Darknet and Surface Internet Hacking Communities. - Zhiyuan Ding; Victor A. Benjamin; Weifeng Li 002; Xueyan Yin (ISI, 2021)

Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach. - Yizhi Liu; Fang Yu Lin; Mohammadreza Ebrahimi 001; Weifeng Li 002; Hsinchun Chen (ISI, 2021)

Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces. - Mohammadreza Ebrahimi 001; Jason Pacheco; Weifeng Li 002; James Lee Hu; Hsinchun Chen (SP (Workshops), 2021)

Informing Cyber Threat Intelligence through Dark Web Situational Awareness: The AZSecure Hacker Assets Portal. - Sagar Samtani; Weifeng Li 002; Victor A. Benjamin; Hsinchun Chen (DTRAP, 2021)

An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection. - Mohammadreza Ebrahimi 001; Weifeng Li 002; Yidong Chai; Jason Pacheco; Hsinchun Chen (ICDM (Workshops), 2022)

Multi-view Representation Learning from Malware to Defend Against Adversarial Variants. - James Lee Hu; Mohammadreza Ebrahimi 001; Weifeng Li 002; Xin Li 108; Hsinchun Chen (ICDM (Workshops), 2022)

Assessing and Enhancing Adversarial Robustness of Predictive Analytics: An Empirically Tested Design Framework. - Weifeng Li 002; Yidong Chai (J. Manag. Inf. Syst., 2022)

An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence. - Yidong Chai; Yonghang Zhou; Weifeng Li 002; Yuanchun Jiang (IEEE Trans. Dependable Secur. Comput., 2022)

Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence. - Ning Zhang; Mohammadreza Ebrahimi 001; Weifeng Li 002; Hsinchun Chen (ACM Trans. Manag. Inf. Syst., 2022)

Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. - Brian Etter; James Lee Hu; Mohammadreza Ebrahimi 001; Weifeng Li 002; Xin Li 108; Hsinchun Chen (ICDM, 2023)

Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach. - Ruicheng Liang; Yidong Chai; Weifeng Li 002; Michael Chau; Yuanchun Jiang; Yezheng Liu 001 (PACIS, 2023)

Enhancing Adversarial Robustness: A Novel Bayesian Uncertainty-Based Ensemble Learning Method. - Yidong Chai; Yi Liu; Mohammadreza Ebrahimi 001; Weifeng Li 002; Balaji Padmanabhan; Yuanchun Jiang; Yezheng Liu 001 (DSC, 2024)

Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. - Brian Etter; James Lee Hu; Mohammedreza Ebrahimi; Weifeng Li 002; Xin Li 108; Hsinchun Chen (CoRR, 2024)

An interpretable wide and deep model for online disinformation detection. - Yidong Chai; Yi Liu; Weifeng Li 002; Bin Zhu; Hongyan Liu 002; Yuanchun Jiang (Expert Syst. Appl., 2024)

The Art of Cybercrime Community Research. - Jack Hughes 001; Sergio Pastrana; Alice Hutchings; Sadia Afroz 001; Sagar Samtani; Weifeng Li 002; Ericsson Santana Marin (ACM Comput. Surv., 2024)