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Defending against Reconstruction Attack in Vertical Federated Learning
Recently researchers have studied input leakage problems in Federated Le...
07/21/2021 ∙ by Jiankai Sun, et al. ∙
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Vertical Federated Learning without Revealing Intersection Membership
Vertical Federated Learning (vFL) allows multiple parties that own diffe...
06/10/2021 ∙ by Jiankai Sun, et al. ∙
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Label Leakage and Protection in Two-party Split Learning
In vertical federated learning, two-party split learning has become an i...
02/17/2021 ∙ by Oscar Li, et al. ∙
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GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
We present GluonCV and GluonNLP, the deep learning toolkits for computer...
07/09/2019 ∙ by Jian Guo, et al. ∙
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Bag of Freebies for Training Object Detection Neural Networks
Comparing with enormous research achievements targeting better image cla...
02/11/2019 ∙ by Zhi Zhang, et al. ∙
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Bag of Tricks for Image Classification with Convolutional Neural Networks
Much of the recent progress made in image classification research can be...
12/04/2018 ∙ by Junyuan Xie, et al. ∙
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GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
We propose a new network architecture, Gated Attention Networks (GaAN), ...
03/20/2018 ∙ by Jiani Zhang, et al. ∙
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Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
As 3D movie viewing becomes mainstream and Virtual Reality (VR) market e...
04/13/2016 ∙ by Junyuan Xie, et al. ∙
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