| 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 | 29 | 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 | 29 | 2020 |
| Binary black-box attacks against static malware detectors with reinforcement learning in discrete action spaces M Ebrahimi, J Pacheco, W Li, JL Hu, H Chen 2021 IEEE Security and Privacy Workshops (SPW), 85-91, 2021 | 15 | 2021 |
| Single-shot black-box adversarial attacks against malware detectors: A causal language model approach JL Hu, M Ebrahimi, H Chen 2021 IEEE International Conference on Intelligence and Security Informatics …, 2021 | 9 | 2021 |
| Linking personally identifiable information from the dark web to the surface web: A deep entity resolution approach F Lin, Y Liu, M Ebrahimi, Z Ahmad-Post, JL Hu, J Xin, S Samtani, W Li, ... 2020 International Conference on Data Mining Workshops (ICDMW), 488-495, 2020 | 8 | 2020 |
| Benchmarking the Robustness of Phishing Email Detection Systems. B Ampel, Y Gao, JL Hu, S Samtani, H Chen AMCIS, 2023 | 3 | 2023 |
| Multi-view representation learning from malware to defend against adversarial variants JL Hu, M Ebrahimi, W Li, X Li, H Chen 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-8, 2022 | 1 | 2022 |
| Large Language Models for Conducting Advanced Text Analytics Information Systems Research BM Ampel, CH Yang, J Hu, H Chen arXiv preprint arXiv:2312.17278, 2023 | | 2023 |
| Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach B Etter, JL Hu, M Ebrahimi, W Li, X Li, H Chen 2023 IEEE International Conference on Data Mining (ICDM), 101-109, 2023 | | 2023 |
