Publications

Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences
arXiv, 2023
J. Birrell, M. Ebrahimi
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Multi-view Representation Learning from Malware to Defend Against Adversarial Variants
IEEE ICDM Workshop on Multi-view Representation Learning, 2022
J. Hu, M. Ebrahimi, W. Li, X. Li, H. Chen
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EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy
IEEE ICDM Workshop on Machine Learning for Cybersecurity, 2022
R. Behnia*, M. Ebrahimi*, J. Pacheco, B. Padmanabhan (* Equal contribution)
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Heterogeneous Domain Adaptation with Deep Adversarial Representation Learning: Experiments on E-Commerce and Cybersecurity
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
M. Ebrahimi, Y. Chai, H. Zhang, H. Chen
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Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces
IEEE S&P Workshop on Deep Learning and Security (DLS), pp. 85-91, 2021
M. Ebrahimi, J. Pacheco, W. Li, J. Hu, H. Chen
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Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model
AAAI Conference on Artificial Intelligence, Workshop on Robust, Secure, and Efficient Machine Learning (RSEML), February 8-9, 2021
M. Ebrahimi, N. Zhang, J. Hu, M. T. Raza, H. Chen
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Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach
IEEE International Conference on Intelligence and Security Informatics (ISI), 2021
J. Hu, M. Ebrahimi, H. Chen
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Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence
ACM TMIS, 2022
N. Zhang, M. Ebrahimi, W. Li, H. Chen
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Cross-Lingual Security Analytics: Cyber Threat Detection in the International Dark Web with Adversarial Deep Representation Learning
MIS Quarterly (MISQ), 2022
M. Ebrahimi, Y. Chai, S. Samtani, H. Chen
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