A Multi-Layer Behavioral and Explainable Framework for Robust Detection of Backdoor Attacks in Deep Neural Networks
Backdoor attacks pose a critical threat to Deep Neural Networks (DNNs) by embedding hidden behaviors that are activated only under specific trigger conditions, compromising the reliability of Artificial Intelligence (AI) systems. Existing detection approaches often rely on single-method assumptions, limited data access...
Ahmed Aljughaiman, Abdulmohsen Saud Albesher, Abdullah Albuali et al.
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