Researchers at Manipal Institute of Technology, Carnegie Mellon University and Yildiz Technical University created a model to analyze and classify sensitive financial documents, like bank statements or tax returns, while protecting users' privacy, Tech Xplore reports. Researcher Priyam Basu said the model uses differential privacy and federated learning to conceal individual elements of documents from those processing the data.
14 Oct. 2021
Researchers develop model to analyze financial docs while protecting users' privacy
Related stories
From assurance to insurance — a conversation on the insurability of generative AI
Toward a tailored approach for privacy, trustworthiness in Edge AI
Agentic AI's risk and reward calculus
A view from DC: Nontariff barriers in the spotlight
Notes from the IAPP Canada: AI, collaboration, deidentification on privacy pros' minds