51 citations · 86 across the 11 of their papers we have counts for
3 papers · 2 filters
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection
Swanand Ravindra Kadhe, Heiko Ludwig, Nathalie Baracaldo +12
The effective detection of evidence of financial anomalies requires collaboration among multiple entities who own a diverse set of data, such as a payment network system (PNS) and…
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 Skip Connections Realization for Secure Inference on Encrypted Data
Nir Drucker, Itamar Zimerman
Homomorphic Encryption (HE) is a cryptographic tool that allows performing computation under encryption, which is used by many privacy-preserving machine learning solutions, for ex…