January 12, 2022 Uncategorized Leave a comment

EzPC: Increased data security in the AI model validation process

EzCc provides secure AI model validation. In the diagram poses the following question: Is the accuracy of the AI model on the test dataset greater than 70%? First, an AI vendor provides model weights, and a modular compiler takes as input from the model weights the AI model structure written in ONNX code for ML inference. From this, it automatically generates MPC protocol code, which is then compiled into various MPC protocols. Additionally, a suite of highly performant cryptographic protocols securely compute complex ML functions on an organization’s test dataset. The MPC protocol outputs random bits, keeping the data from both parties secure.

From manufacturing and logistics to agriculture and transportation, the expansion of artificial intelligence (AI) in the last decade

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