51 citations · 68 across the 8 of their papers we have counts for
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cs.CR2022★ 4 cited
Efficient Pruning for Machine Learning Under Homomorphic Encryption
Ehud Aharoni, Moran Baruch, Pradip Bose +8
Privacy-preserving machine learning (PPML) solutions are gaining widespread popularity. Among these, many rely on homomorphic encryption (HE) that offers confidentiality of the mod…
cs.CR2022★ 10 cited
Privacy-preserving record linkage using local sensitive hash and private set intersection
Allon Adir, Ehud Aharoni, Nir Drucker +4
The amount of data stored in data repositories increases every year. This makes it challenging to link records between different datasets across companies and even internally, whil…