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SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search
nearest neighbor search privacy-preserving data analysis
2019/4/10
We present new secure protocols for approximate kk-nearest neighbor search (kk-NNS) over the Euclidean distance in the semi-honest model. Our implementation is able to handle massive datasets efficien...
Private Nearest Neighbors Classification in Federated Databases
Multi-Party Computation Text Classification Machine Learning
2018/3/29
Privacy-preserving data analysis in the context of federated databases distributed across multiple parties has the potential to produce richer and more accurate models than what each party can learn w...