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2020 – today
- 2023
[j1]Idris Zakariyya
, Harsha K. Kalutarage, M. Omar Al-Kadri:
Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring. Comput. Secur. 133: 103388 (2023)- [c6]Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari:
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. IJCNN 2023: 1-8 - [i1]Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari:
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. CoRR abs/2304.12829 (2023) - 2022
- [c5]Idris Zakariyya, Harsha K. Kalutarage, M. Omar Al-Kadri:
Resource Efficient Federated Deep Learning for IoT Security Monitoring. ADIoT 2022: 122-142 - [c4]Idris Zakariyya, Harsha K. Kalutarage, M. Omar Al-Kadri:
Robust, Effective and Resource Efficient Deep Neural Network for Intrusion Detection in IoT Networks. CPSS@AsiaCCS 2022: 41-51 - 2021
- [c3]Idris Zakariyya, M. Omar Al-Kadri, Harsha K. Kalutarage:
Resource Efficient Boosting Method for IoT Security Monitoring. CCNC 2021: 1-6 - [c2]Idris Zakariyya, Harsha K. Kaluterage, M. Omar Al-Kadri:
Memory Efficient Federated Deep Learning for Intrusion Detection in IoT Networks. AI-Cybersec@SGAI 2021: 85-99
2010 – 2019
- 2019
- [c1]Idris Zakariyya, M. Omar Al-Kadri, Harsha K. Kalutarage, Andrei Petrovski:
Reducing Computational Cost in IoT Cyber Security: Case Study of Artificial Immune System Algorithm. ICETE (2) 2019: 523-528
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