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Inclusive normalization of face images to passport format
In this work, a style based face normalization model (StyleFNM) is proposed to remove most intra-personal variations including large changes in pose, bad or harsh illumination, low resolution, blur, facial expressions, and accessories like sunglasses among others.
Multi-view user representation learning for user matching without personal information
To deal with these challenges, we propose the similarity based multi-view information fusion to learn a better user representation from URLs by treating the URLs as multi-view data.
Local Model Reconstruction Attacks in Federated Learning and their Uses
Additionally, we propose a novel model-based attribute inference attack in federated learning leveraging the local model reconstruction attack.
Destination similarity based on implicit user interest
In this work, a new similarity method is proposed to measure the destination similarity in terms of implicit user interest.
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