Automated assistant architecture for preserving privacy of application content

Abstract

Implementations set forth herein relate to an automated assistant that allows third party applications to inject dependencies to leverage automated assistant functions. Furthermore, enabling such dependency injections can allow third party applications to preserve privacy of any application content that is used during execution of automated assistant functions. In some implementations, a third party application can initialize a function with an assistant dependency using parameters that are tagged as private. Initializing a function in such as a way can allow private content communicated between the third party application and the automated assistant to be abstracted for security purposes. The abstracted content can thereafter be communicated to a remote server—such as a server hosting an extensively trained machine learning model. Intelligent output provided by the server can then be incorporated into one or more processes of the third party application without comprising security.