Infosecurity has selected five of the most significant vulnerability exploitation campaigns of 2025 that led to major ...

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Abstract: Deep neural networks (DNNs) are vulnerable to backdoor attacks, where adversaries manipulate the training data to implant hidden backdoors, causing misclassifications when inputs are ...

Abstract: To mitigate recent insidious backdoor attacks on deep learning models, advances have been made by the research community. Nonetheless, state-of-the-art defenses are either limited to ...

Recent studies have revealed that deep neural networks (DNNs) are susceptible to backdoor attacks, in which attackers insert a pre-defined backdoor into a DNN model by poisoning a few training samples ...

Gaze estimation models are widely used in applications such as driver attention monitoring and human-computer interaction. In essence, gaze estimation is a regression task that uses either eye or ...