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01/28/2022
A Secure and Efficient Federated Learning Framework for NLP
In this work, we consider the problem of designing secure and efficient ...
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03/11/2021
TAG: Transformer Attack from Gradient
Although federated learning has increasingly gained attention in terms o...
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09/14/2020
SAPAG: A Self-Adaptive Privacy Attack From Gradients
Distributed learning such as federated learning or collaborative learnin...
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08/28/2020
MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks
Deep learning or deep neural networks (DNNs) have nowadays enabled high ...
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07/31/2020
MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points
The closest pair of points problem or closest pair problem (CPP) is an i...
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05/30/2018
