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Localizing Moments of Actions in Untrimmed Videos of Infants with Autism Spectrum Disorder
This study is the first to conduct end-to-end temporal action localization in untrimmed videos of infants with ASD, offering promising avenues for early intervention and support.
Differentially Private Generative Adversarial Networks with Model Inversion
To protect sensitive data in training a Generative Adversarial Network (GAN), the standard approach is to use differentially private (DP) stochastic gradient descent method in which controlled noise is added to the gradients.
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