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Mitigating Backdoors within Deep Neural Networks in Data-limited Configuration
As the capacity of deep neural networks (DNNs) increases, their need for huge amounts of data significantly grows.
Path Analysis for Effective Fault Localization in Deep Neural Networks
Deep learning has revolutionized various real-world applications, but the quality of Deep Neural Networks (DNNs) remains a concern.
Enhancing Face Recognition with Latent Space Data Augmentation and Facial Posture Reconstruction
To the best of our knowledge, FRA is the first method that shifts its focus towards manipulating the face embeddings generated by any face representation learning algorithm to create new embeddings representing the same identity and facial emotion but with an altered posture.
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