Deep-learning models have found applications across various industries, from healthcare diagnostics to financial forecasting. However, their high computational demands often require powerful cloud-based servers. This dependency on cloud computing raises notable security concerns, particularly in sensitive sectors like healthcare. Hospitals, for instance, may be reluctant to adopt AI tools for analyzing confidential patient data due to potential privacy risks. To tackle this pressing issue, MIT researchers have developed a security protocol that leverages the quantum … More →

The post New MIT protocol protects sensitive data during cloud-based computation appeared first on Help Net Security.