Abstract: The present disclosure provides a method for processing data using a transformer model with privacy preservation. The method includes receiving input data, applying a dimensionality reduction operation using an input privacy layer positioned horizontally between an input layer and an execution layer of the transformer model, processing the reconstructed data, generating an encryption key for encrypting weights of the input privacy layer, splitting the encryption key into shares, distributing the shares among blockchain addresses, encrypting the weights, receiving signatures from the blockchain addresses, reconstructing the encryption key using the signatures and shares, verifying the authenticity of each signature, decrypting the weights using the reconstructed key if all signatures are verified, and updating the transformer model with the decrypted weights. The input privacy layer includes down projection, transformation, and up projection operations.

Abstract: The present disclosure provides a system for secure compute using artificial intelligence agents. The system includes a hardware execution environment with one or more computerized processors and electronic storage media. The processors are configured to establish a secure agent comprising a secure state management module, an encrypted state transition management module, a threshold cryptography implementation, and a digital signature verification module. The system also includes a plurality of atomic agents, each configured to perform a composite task and comprising a task-specific execution module, a state management interface, and a communication module. An orchestrator agent coordinates secure execution of the atomic agents and includes a task distribution module, a result aggregation module, a workflow management module, and a security policy enforcement module.