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October 2024 - The paper titled 'Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks' has been accepted for publication in the IEEE Transactions on Network and Service Management (IEEE TNSM) journal.
August 2024 - The paper titled 'Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks' has been accepted for publication in the Computers & Security journal.
July 2024 - The paper titled 'Deep Image: A precious image based deep learning method for online malware detection in IoT environment' has been accepted for publication in the Internet of Things journal.
May 2024 - Participation in the Workshop on AI & Sustainability at the University of Surrey.
March 2024 - The paper titled 'Enhancing Federated Learning Robustness Through Randomization and Mixture' has been accepted for publication in the Future Generation Computer Systems journal.
November 2023 - The paper titled 'Impact of Aggregation Function Randomization Against Model Poisoning in Federated Learning' has been accepted to the IEEE TrustCom Conference 2023, UK.
November 2023 - The paper titled 'Model Poisoning Attack Against Federated Learning with Adaptive Aggregation' has been accepted to the Adversarial Multimedia Forensics.
June 2023 - The paper titled 'Robust Aggregation Function in Federated Learning' was accepted to the ICIKS Conference 2023, UK.
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