Risk-Aware Multi-Party Anonymization
AssigneeVeil.AI Oy
InventorsTimo MIETTINEN, Mehreen ALI
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Abstract
A method, apparatus, computer program and system are disclosed for multi-party data anonymization in a system containing a local node and a plurality of external nodes, including forming a first local anonymization model based on a first set of local data available to the local node at a first time; obtaining a first shared anonymization model; and adapting the first local anonymization model based on the first shared anonymization model, wherein the adapting of the first local anonymization model is subjected to verifying that the adapted first local anonymization model passes a risk assessment.
Claims17
A method in a local node for a multi-party data anonymization system comprising the local node and a plurality of external nodes, comprising
- forming a first local anonymization model based on a first set of local data available to the local node at a first time;
- obtaining a first shared anonymization model;
- and
- adapting the first local anonymization model based on the first shared anonymization model;
- wherein the adapting of the first local anonymization model is subjected to verifying that the adapted first local anonymization model passes a risk assessment.
Dependencies are inferred from the claim text.