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Jaime Punyed

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#machine learning Preprint Sep 2026

Encrypt What Matters: When Selective Homomorphic Inference Is Efficient

Fully homomorphic encryption (FHE) enables inference on private data without revealing it to the server, but evaluating an entire input under FHE is expensive. We study \emph{selective homomorphic inference}, where only a sensitive region of interest (ROI) is encrypted, and computations independent of that region are p...

Ali Backour, J. Reyes, Jaime Punyed et al. · 0 citations

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