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08/25/2022
DPAUC: Differentially Private AUC Computation in Federated Learning
Federated learning (FL) has gained significant attention recently as a p...
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05/24/2022
Differentially Private AUC Computation in Vertical Federated Learning
Federated learning has gained great attention recently as a privacy-enha...
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03/04/2022
Differentially Private Label Protection in Split Learning
Split learning is a distributed training framework that allows multiple ...
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07/21/2021
Defending against Reconstruction Attack in Vertical Federated Learning
Recently researchers have studied input leakage problems in Federated Le...
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06/10/2021
Vertical Federated Learning without Revealing Intersection Membership
Vertical Federated Learning (vFL) allows multiple parties that own diffe...
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02/17/2021
Label Leakage and Protection in Two-party Split Learning
In vertical federated learning, two-party split learning has become an i...
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07/09/2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
We present GluonCV and GluonNLP, the deep learning toolkits for computer...
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02/11/2019
Bag of Freebies for Training Object Detection Neural Networks
Comparing with enormous research achievements targeting better image cla...
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12/04/2018
Bag of Tricks for Image Classification with Convolutional Neural Networks
Much of the recent progress made in image classification research can be...
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03/20/2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
We propose a new network architecture, Gated Attention Networks (GaAN), ...
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04/13/2016