Replication Data for: Revisiting Oblivious Top-k Selection with Applications to Secure k-NN Classification
Description
The code implements a homomorphic Top-k selection algorithm and an application to secure k-nearest neighbors classification. More specifically, our method applies a new truncation technique to Batcher's odd-even sorting algorithm. All of this is done in an oblivious manner, because the underlying data is encrypted. Our experimental results show a speedup of up to 47 times (not accounting for difference in CPU) compared to a previous secure k-nearest neighbors classifier.
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Tags
- homomorphic
- top-k
- encryption