Immutable Server Attestation for Private Encrypted AI Access
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Solution Overview
Problem
Existing machine learning models, such as large language models, pose concerns regarding user privacy as they may exploit user data for unintended purposes, lack transparency, and fail to prioritize user consent and accountability.
Innovation Solution
A system that securely processes LLM requests using public-key attestations to ensure user privacy, employs anonymized tokens for identity concealment, and enforces immutable system properties through a restricted execution mode to maintain data confidentiality and integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If machine learning models process user data to improve accuracy and functionality, then model performance is improved, but user privacy and data security deteriorate
Solution Approach 1:
The system segments the machine learning model into multiple components distributed across different servers. Each server processes only a portion of the computation, preventing any single server from accessing the complete dataset or model, thereby maintaining both accuracy and privacy.
Solution Approach 2:
The patent introduces intermediary mechanisms including secure enclaves, homomorphic encryption, and differential privacy layers that act as mediators between user data and the ML model. These intermediaries enable processing while protecting privacy through cryptographic transformations and controlled information disclosure.
2Productivity
If server systems access user data for processing, then processing capability is improved, but data confidentiality and user consent control deteriorate
Solution Approach 1:
The system performs preliminary actions by obtaining explicit user consent and establishing security protocols before data processing begins. Secure enclaves are pre-configured with access controls and encryption keys, ensuring that processing capability is enhanced while confidentiality is maintained through advance protective measures.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors and reports back to users about data access and processing activities. This includes providing users with visibility into which servers access their data, for what purposes, and allowing them to revoke consent, thereby maintaining confidentiality through ongoing user control.
3Adaptability or versatility
If multiple servers are used to distribute processing load, then system scalability is improved, but security vulnerabilities and attack surface deteriorate
Solution Approach 1:
The patent merges security functions across multiple servers by implementing a unified security architecture where secure enclaves, encryption protocols, and access control mechanisms are consistently applied across the distributed system. This combining of security measures maintains scalability while reducing overall vulnerability through layered protection.
Solution Approach 2:
The system creates an inert security environment through cryptographic isolation and secure enclaves that protect data even as it moves across multiple servers. These isolated, protected environments allow the system to scale horizontally while maintaining security, as each server operates within its own secure boundary rather than exposing the entire distributed system to attack.
Data Source
AI summary
Techniques are disclosed relating to improving user privacy when accessing a resource. In various embodiments, a server system provides a resource accessible to a plurality of client devices using end-to-end encryption. The server system provides a signed attestation that includes a public key of the server system, the attestation attesting to the public key and to a set of system properties of the server system that are immutable while the resource is accessible. The server system receives a request from one of the client devices to access the resource, the request including encrypted using the attested-to public key of the server system. In some embodiments, the server system publishes information about the immutable system properties to a transparency log stored in a transparency server accessible to the client device when verifying the signed attestation.