Existing deep learning-based face recognition models are vulnerable to adversarial attacks due to their inherent network fragility. However, current attack methods generate adversarial examples that ...
Abstract: Knowledge Distillation (KD) is crucial for optimizing face recognition models for deployment in computationally limited settings, such as edge devices. Traditional KD methods, such as Raw L2 ...
If Meta moves forward with plans to integrate facial recognition technologies into its AI-enabled smart glasses, some of us ...
Python framework for brain MRI analysis and Alzheimer’s disease (AD) classification using the OASIS-2 dataset. The project implements a multi-stream, multimodal architecture that combines multi-view ...
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