Identifying, collecting, and presenting hacker community data: Forums, IRC, carding shops, and DNMs PY Du, N Zhang, M Ebrahimi, S Samtani, B Lazarine, N Arnold, R Dunn, ... 2018 IEEE international conference on intelligence and security informatics …, 2018 | 35 | 2018 |
Dark-net ecosystem cyber-threat intelligence (CTI) tool N Arnold, M Ebrahimi, N Zhang, B Lazarine, M Patton, H Chen, S Samtani 2019 IEEE International Conference on Intelligence and Security Informatics …, 2019 | 33 | 2019 |
Binary black-box evasion attacks against deep learning-based static malware detectors with adversarial byte-level language model M Ebrahimi, N Zhang, J Hu, MT Raza, H Chen arXiv preprint arXiv:2012.07994, 2020 | 30 | 2020 |
Identifying, collecting, and monitoring personally identifiable information: From the dark web to the surface web Y Liu, FY Lin, Z Ahmad-Post, M Ebrahimi, N Zhang, JL Hu, J Xin, W Li, ... 2020 IEEE International Conference on Intelligence and Security Informatics …, 2020 | 27 | 2020 |
Cell nuclei detection and segmentation for computational pathology using deep learning K Chen, N Zhang, L Powers, J Roveda 2019 Spring Simulation Conference (SpringSim), 1-6, 2019 | 25 | 2019 |
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence N Zhang, M Ebrahimi, W Li, H Chen ACM Transactions on Management Information Systems 13 (2), 1-21, 2022 | 13 | 2022 |
A generative adversarial learning framework for breaking text-based CAPTCHA in the dark web N Zhang, M Ebrahimi, W Li, H Chen 2020 IEEE International conference on intelligence and security informatics …, 2020 | 7 | 2020 |
Identifying high-impact opioid products and key sellers in dark net marketplaces: An interpretable text analytics approach PY Du, M Ebrahimi, N Zhang, H Chen, RA Brown, S Samtani 2019 IEEE international conference on intelligence and security informatics …, 2019 | 5 | 2019 |