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Privacy-Preserving Tree-Based Inference with Fully Homomorphic Encryption. (arXiv:2303.01254v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Privacy enhancing technologies (PETs) have been proposed as a way to protect
the privacy of data while still allowing for data analysis. In this work, we
focus on Fully Homomorphic Encryption (FHE), a powerful tool that allows for
arbitrary computations to be performed on encrypted data. FHE has received lots
of attention in the past few years and has reached realistic execution times
and correctness.
More precisely, we explain in this paper how we apply FHE to tree-based
models and …
analysis attention correctness data data analysis encrypted encrypted data encryption fhe focus fully homomorphic encryption homomorphic encryption precisely privacy privacy enhancing technologies protect technologies tool work