Abstract: A system and method for performing persistent comply to connect (C2C) for establishing a connection to a network is provided. The method includes receiving, at a secure access (SA) server from an endpoint device, a request to access a network, and continuously collecting, by a secure endpoint (SE) agent, data from the endpoint device. Based on the continuous collection, determining a compliance status of the endpoint device, and automatically enforcing, by an SA server, one or more policy actions based on real-time compliance data of the endpoint device to force the endpoint device into compliance. The method further includes continuously monitoring, after the endpoint device has been granted access to the network, the compliance status of the endpoint device for a change event, and automatically enforcing a policy action to resolve a change in the compliance status.

Abstract: The present disclosure describes techniques for generating target music. Audio and text are input to a machine learning model. The audio indicates a context of the target music, and the text specifies one or more musical instruments of the target music. A representation of the target music is generated through an iterative process. The target music features the one or more musical instruments specified by the text and aligns with the audio. The iterative process comprises a plurality of iterations. Each iteration comprises employing a multi-source classifier-free guidance mechanism to sample logits output from a previous iteration. The multi-source classifier-free guidance mechanism is configured to separately weight influences of the audio and the text. Each iteration comprises ranking the sampled logits based at least in part on a timeline of the target music. Each iteration comprises updating the representation of the target music based on the ranked sampled logits.