51 citations · 68 across the 8 of their papers we have counts for
4 papers · 1 filter
Generating One-Hot Maps under Encryption
Ehud Aharoni, Nir Drucker, Eyal Kushnir +2
One-hot maps are commonly used in the AI domain. Unsurprisingly, they can also bring great benefits to ML-based algorithms such as decision trees that run under Homomorphic Encrypt…
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…
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…
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data
Ehud Aharoni, Allon Adir, Moran Baruch +9
Privacy-preserving solutions enable companies to offload confidential data to third-party services while fulfilling their government regulations. To accomplish this, they leverage…