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Faster Multiplication Triplet Generation from Homomorphic Encryption for Practical Privacy-Preserving Machine Learning under a Narrow Bandwidth
Privacy-preserving Machine Learning Secure Two-party Computation Applied Crypto
2018/2/8
Machine learning algorithms are used by more and more online applications to improve the services. Machine learning-based online services are usually accessed by thousands of clients concurrently thro...
Practical Secure Aggregation for Privacy Preserving Machine Learning
Privacy Preserving Machine Learning cryptographic protocols
2017/3/31
We design a novel, communication-efficient, failure-robust protocol for secure aggregation of high-dimensional data. Our protocol allows a server to compute the sum of large, user-held data vectors fr...