Secure Outsourcing of Matrix Operations as a Service. - Mohamed Nassar 001; Abdelkarim Erradi; Farida Sabry; Qutaibah M. Malluhi (IEEE CLOUD, 2013)

A Model Driven Framework for Secure Outsourcing of Computation to the Cloud. - Mohamed Nassar 001; Abdelkarim Erradi; Farida Sabry; Qutaibah M. Malluhi (IEEE CLOUD, 2014)

Automatic Generation of Optimized Workflow for Distributed Computations on Large-Scale Matrices. - Farida Sabry; Abdelkarim Erradi; Mohamed Nassar 001; Qutaibah M. Malluhi (ICSOC, 2014)

Anonymity and Privacy in Bitcoin Escrow Trades. - Farida Sabry; Wadha Labda; Aiman Erbad; Husam Al Jawaheri; Qutaibah M. Malluhi (WPES@CCS, 2019)

Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities. - Farida Sabry; Wadha Labda; Aiman Erbad; Qutaibah M. Malluhi (IEEE Access, 2020)

Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device's Data. - Farida Sabry; Tamer Eltaras; Wadha Labda; Fatima Hamza; Khawla Alzoubi; Qutaibah M. Malluhi (Sensors, 2022)

Wearable Data Generation Using Time-Series Generative Adversarial Networks for Hydration Monitoring. - Farida Sabry; Wadha Labda; Tamer Eltaras; Fatima Hamza; Khawla Elzoubi; Qutaibah M. Malluhi (BIOSIGNALS, 2023)

Privacy-preserving Deep-learning Models for Fingerprint Data using Differential Privacy. - Maryam Mohammadi; Farida Sabry; Wadha Labda; Qutaibah M. Malluhi (IWSPA@CODASPY, 2023)

Efficient Verifiable Protocol for Privacy-Preserving Aggregation in Federated Learning. - Tamer Eltaras; Farida Sabry; Wadha Labda; Khawla Alzoubi; Qutaibah Ahmedeltaras (IEEE Trans. Inf. Forensics Secur., 2023)