Partial Packet Forwarding to Improve Performance in Fully Adaptive Routing for Cache-Coherent NoCs. - Tamer Ahmed Eltaras; William Fornaciari; Davide Zoni (PDP, 2019)

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)

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)

R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients. - Tamer Ahmed Eltaras; Qutaibah M. Malluhi; Alessandro Savino; Stefano Di Carlo; Adnan Qayyum (WISE (5), 2024)

R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients. - Tamer Ahmed Eltaras; Qutaibah M. Malluhi; Alessandro Savino; Stefano Di Carlo; Adnan Qayyum; Junaid Qadir 001 (CoRR, 2024)

AI-Based Classification of Adversarial Attacks vs. Hardware Fault Corruptions in the Split Computing Context. - Giuseppe Esposito; Enrico Magliano; Nicola Scarano; Tamer Ahmed Eltaras; Juan-David Guerrero-Balaguera; Luca Mannella; Josie E. Rodriguez Condia; Annachiara Ruospo; Stefano Di Carlo; Marco Levorato; Alessandro Savino; Matteo Sonza Reorda (IOLTS, 2025)

R-CONV++: uncovering privacy vulnerabilities through analytical gradient inversion attacks. - Tamer Ahmed Eltaras; Qutaibah M. Malluhi; Alessandro Savino; Stefano Di Carlo; Adnan Qayyum (Computing, 2025)