A New Neural Dynamic Classification Algorithm. - Mohammad Hossein Rafiei; Hojjat Adeli (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Survey of Deep Learning Architectures for Privacy-Preserving Machine Learning With Fully Homomorphic Encryption. - Robert Podschwadt; Daniel Takabi; Peizhao Hu; Mohammad Hossein Rafiei; Zhipeng Cai 001 (IEEE Access, 2022)

Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations. - Ahmad Mohammadshirazi; Aida Nadafian; Amin Karimi Monsefi; Mohammad Hossein Rafiei; Rajiv Ramnath (CoRR, 2023)

MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference. - Parsa Ghazvinian; Robert Podschwadt; Prajwal Panzade; Mohammad Hossein Rafiei; Daniel Takabi (TPS-ISA, 2024)

SSCAE - Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator. - Javad Rafiei Asl; Mohammad Hossein Rafiei; Manar Alohaly; Daniel Takabi (CoRR, 2024)

A Semantic, Syntactic, and Context-Aware Natural Language Adversarial Example Generator. - Javad Rafiei Asl; Mohammad Hossein Rafiei; Manar Alohaly; Daniel Takabi (IEEE Trans. Dependable Secur. Comput., 2024)

Self-Supervised Learning for Electroencephalography. - Mohammad Hossein Rafiei; Lynne V. Gauthier; Hojjat Adeli; Daniel Takabi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Self-Supervised Learning for Near-Wild Cognitive Workload Estimation. - Mohammad Hossein Rafiei; Lynne V. Gauthier; Hojjat Adeli; Daniel Takabi (J. Medical Syst., 2024)