Reducing Computational Cost in IoT Cyber Security: Case Study of Artificial Immune System Algorithm. - Idris Zakariyya; M. Omar Al-Kadri; Harsha K. Kalutarage; Andrei Petrovski 001 (ICETE (2), 2019)

Resource Efficient Boosting Method for IoT Security Monitoring. - Idris Zakariyya; M. Omar Al-Kadri; Harsha K. Kalutarage (CCNC, 2021)

Memory Efficient Federated Deep Learning for Intrusion Detection in IoT Networks. - Idris Zakariyya; Harsha K. Kaluterage; M. Omar Al-Kadri (AI-Cybersec@SGAI, 2021)

Resource Efficient Federated Deep Learning for IoT Security Monitoring. - Idris Zakariyya; Harsha K. Kalutarage; M. Omar Al-Kadri (ADIoT, 2022)

Robust, Effective and Resource Efficient Deep Neural Network for Intrusion Detection in IoT Networks. - Idris Zakariyya; Harsha K. Kalutarage; M. Omar Al-Kadri (CPSS@AsiaCCS, 2022)

Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. - Ferheen Ayaz; Idris Zakariyya; José Cano 001; Sye Loong Keoh; Jeremy Singer; Danilo Pau; Mounia Kharbouche-Harrari (IJCNN, 2023)

Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring. - Idris Zakariyya; Harsha K. Kalutarage; M. Omar Al-Kadri (Comput. Secur., 2023)

Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition. - Idris Zakariyya; Linda Tran; Kaushik Bhargav Sivangi; Paul Henderson; Fani Deligianni (WACV, 2025)

Artificial Intelligence-Driven Clinical Decision Support Systems. - Muhammet Alkan; Idris Zakariyya; Samuel Leighton; Kaushik Bhargav Sivangi; Christos Anagnostopoulos 001; Fani Deligianni (CoRR, 2025)

Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks. - Idris Zakariyya; Ferheen Ayaz; Mounia Kharbouche-Harrari; Jeremy Singer; Sye Loong Keoh; Danilo Pau; José Cano 001 (CoRR, 2025)

Differentially Private 2D Human Pose Estimation. - Kaushik Bhargav Sivangi; Idris Zakariyya; Paul Henderson; Fani Deligianni (CoRR, 2025)