Selected Publications

These are some selected publications. Full list of publications and patents.

 

RADAR: A framework for developing adversarially robust cyber defense AI agents with deep reinforcement learning
MIS Quarterly, 2025
R. Ebrahimi, Y. Chai, W. Li, J. Pacheco, H. Chen
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Learning Contextualized Action Representations in Sequential Decision Making for Adversarial Malware Optimization
IEEE TDSC, 2025
R. Ebrahimi, J. Pacheco, J. Hu, H. Chen
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Learning Contextualized Action Representations in Sequential Decision Making for Adversarial Malware Optimization
IEEE TDSC, 2025
R. Ebrahimi, J. Pacheco, J. Hu, H. Chen
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Defending Deep Learning-based Raw Malware Detectors Against Adversarial Attacks: A Sequence Modeling Approach
JMIS, 2025
R. Ebrahimi, J. Hu, N. Zhang, J. Nunamaker, H.Chen
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Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
IEEE TDSC, 2025
Y. Zhang, R. Behnia, A. Yavuz, R. Ebrahimi, E. Bertino
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Optimal Transport Regularized Divergences: Application to Adversarial Robustness
SIAM Journal on Mathematics of Data Science
J. Birrell, R. Ebrahimi
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Risk-Sensitive Variational Actor-Critic: A Model-Based Approach
ICLR, 2025
A. Granados, R. Ebrahimi, J. Pacheco
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Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement
NeurIPS, 2024
J. Birrell, R. Ebrahimi, R. Behnia, J. Pacheco
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Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning
ACSAC, 2024
R. Behnia, A. Riasi, R. Ebrahimi, S. Chow, B. padmanabhan, T. Hoang
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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, R. 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*, R. 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), 2023
R. 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
R. 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
R. 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, R. 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, R. 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
R. Ebrahimi, Y. Chai, S. Samtani, H. Chen
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