A study of mobility support in wearable health monitoring systems: Design framework. - Amine Boulemtafes; Abderrezak Rachedi; Nadjib Badache (AICCSA, 2015)

A review of privacy-preserving techniques for deep learning. - Amine Boulemtafes; Abdelouahid Derhab; Yacine Challal (Neurocomputing, 2020)

PReDIHERO - Privacy-Preserving Remote Deep Learning Inference based on Homomorphic Encryption and Reversible Obfuscation for Enhanced Client-side Overhead in Pervasive Health Monitoring. - Amine Boulemtafes; Abdelouahid Derhab; Nassim Ait Ali Braham; Yacine Challal (AICCSA, 2021)

Investigating Security and Privacy Concerns in Deep-Learning-based Pervasive Health Monitoring Architectures. - Amine Boulemtafes; Abdelouahab Amira; Mohamed Saddek Derki; Samir Hadjar (PAIS, 2023)

Privacy-preserving remote deep-learning-based inference under constrained client-side environment. - Amine Boulemtafes; Abdelouahid Derhab; Nassim Ait Ali Braham; Yacine Challal (J. Ambient Intell. Humaniz. Comput., 2023)

PRIviLY: Private Remote Inference over fulLY connected deep networks for pervasive health monitoring with constrained client-side. - Amine Boulemtafes; Abdelouahid Derhab; Yacine Challal (J. Inf. Secur. Appl., 2023)