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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024

Granite Guardian

Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia +20

We introduce the Granite Guardian models, a suite of safeguards designed to provide risk detection for prompts and responses, enabling safe and responsible use in combination with…

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…