most citedPrivacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CR2023★ 1 cited

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…

cs.CR2023

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…