3 accepted papers
Very low-resolution face recognition is challenging due to the serious loss of informative facial details in resolution degradation. Recent approaches based on knowledge distillation provide an effective solution by distilling knowledge from a well-trained teacher for high-resolution face recognitio…
"While the success of deep learning relies on large amounts of training datasets, data is often limited in privacy-sensitive domains. To address this challenge, generative model learning with differential privacy has emerged as a solution to train private generative models for desensitized data gene…
While massive valuable deep models trained on large-scale data have been released to facilitate the artificial intelligence community, they may encounter attacks in deployment which leads to privacy leakage of training data. In this work, we propose a learning approach termed differentially private…