Identifying, Collecting, and Presenting Hacker Community Data: Forums, IRC, Carding Shops, and DNMs. - Po-Yi Du; Ning Zhang; Mohammadreza Ebrahimi 001; Sagar Samtani; Ben Lazarine; Nolan Arnold; Rachael Dunn; Sandeep Suntwal; Guadalupe Angeles; Robert Schweitzer; Hsinchun Chen (ISI, 2018)

Detecting Cyber Threats in Non-English Dark Net Markets: A Cross-Lingual Transfer Learning Approach. - Mohammadreza Ebrahimi 001; Mihai Surdeanu; Sagar Samtani; Hsinchun Chen (ISI, 2018)

Dark-Net Ecosystem Cyber-Threat Intelligence (CTI) Tool. - Nolan Arnold; Mohammadreza Ebrahimi 001; Ning Zhang; Ben Lazarine; Mark W. Patton; Hsinchun Chen; Sagar Samtani (ISI, 2019)

Identifying High-Impact Opioid Products and Key Sellers in Dark Net Marketplaces: An Interpretable Text Analytics Approach. - Po-Yi Du; Mohammadreza Ebrahimi 001; Ning Zhang; Hsinchun Chen; Randall A. Brown; Sagar Samtani (ISI, 2019)

Involuntary Embarrassing Exposures in Online Social Networks: A Replication Study. - Mohammadreza Ebrahimi 001; J. Daniel Martinez (AIS Trans. Replication Res., 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)

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)

Detecting Cyber Threats in Non-English Hacker Forums: An Adversarial Cross-Lingual Knowledge Transfer Approach. - Mohammadreza Ebrahimi 001; Sagar Samtani; Yidong Chai; Hsinchun Chen (SP (Workshops), 2020)

Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model. - Mohammadreza Ebrahimi 001; Ning Zhang; James Hu 001; Muhammad Taqi Raza; Hsinchun Chen (CoRR, 2020)

Semi-Supervised Cyber Threat Identification in Dark Net Markets: A Transductive and Deep Learning Approach. - Mohammadreza Ebrahimi 001; Jay F. Nunamaker Jr.; Hsinchun Chen (J. Manag. Inf. Syst., 2020)

Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach. - James Lee Hu; Mohammadreza Ebrahimi 001; Hsinchun Chen (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)

AI-Enabled Cybersecurity Analytics: Detecting and Defending Against Cyber Threats. - Mohammadreza Ebrahimi 001 (2021)

EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. - Rouzbeh Behnia; Mohammadreza Ebrahimi 001; Jason Pacheco; Balaji Padmanabhan (ICDM (Workshops), 2022)

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)

Key Factors Affecting User Adoption of Open-Access Data Repositories in Intelligence and Security Informatics: An Affordance Perspective. - Bo Wen; Paul Jen-Hwa Hu; Mohammadreza Ebrahimi 001; Hsinchun Chen (ACM Trans. Manag. Inf. Syst., 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)

Cross-Lingual Cybersecurity Analytics in the International Dark Web with Adversarial Deep Representation Learning. - Mohammadreza Ebrahimi 001; Yidong Chai; Sagar Samtani; Hsinchun Chen (MIS Q., 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)

Automated Deductive Content Analysis of Text: A Deep Contrastive and Active Learning Based Approach. - Alysson De Oliveira Silveira; Arindam Ray; Mohammadreza Ebrahimi 001; Anol Bhattacherjee (ICIS, 2023)

Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning. - Rouzbeh Behnia; Reza Ebrahimi 001; Arman Riasi; Balaji Padmanabhan; Thang Hoang (CoRR, 2023)

Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences. - Jeremiah Birrell; Reza Ebrahimi 001 (CoRR, 2023)

Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. - Mohammadreza Ebrahimi 001; Yidong Chai; Hao Helen Zhang; Hsinchun Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning. - Rouzbeh Behnia; Arman Riasi; Reza Ebrahimi 001; Sherman S. M. Chow; Balaji Padmanabhan; Thang Hoang (ACSAC, 2024)

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)

Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning. - Yiwei Zhang; Rouzbeh Behnia; Attila A. Yavuz; Reza Ebrahimi 001; Elisa Bertino (ICDM (Workshops), 2024)

Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement. - Jeremiah Birrell; Reza Ebrahimi 001; Rouzbeh Behnia; Jason Pacheco (NeurIPS, 2024)

From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models. - Yuncong Yang; Xiao Han; Yidong Chai; Reza Ebrahimi 001; Rouzbeh Behnia; Balaji Padmanabhan (CoRR, 2024)

Risk-Sensitive Variational Actor-Critic: A Model-Based Approach. - Alonso Granados Baca; Reza Ebrahimi 001; Jason Pacheco (ICLR, 2025)

An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models. - Kasra Ahmadi; Rouzbeh Behnia; Reza Ebrahimi 001; Mehran Mozaffari Kermani; Jeremiah Birrell; Jason Pacheco; Attila A. Yavuz (SP (Workshops), 2025)

Learning Contextualized Action Representations in Sequential Decision Making for Adversarial Malware Optimization. - Reza Ebrahimi 001; Jason Pacheco; James Hu 001; Hsinchun Chen (IEEE Trans. Dependable Secur. Comput., 2025)

Efficient Full-Stack Private Federated Deep Learning With Post-Quantum Security. - Yiwei Zhang; Rouzbeh Behnia; Attila Altay Yavuz; Reza Ebrahimi 001; Elisa Bertino (IEEE Trans. Dependable Secur. Comput., 2025)