Telemetry-Based Model Execution Integrity Verification
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Solution Overview
Problem
Cloud service providers and end users face risks in inference task execution, where users can repudiate payment after task completion, and CSPs may replace models to reduce computational burden, leading to uncertainty about the proper model usage during inference tasks.
Innovation Solution
Implementing target resource verification circuitry that uploads input data and instructions to CSPs to perform inference tasks, generating telemetry information based on specified models and data, which is then compared to baseline telemetry from the end user's resources to verify the integrity of model execution before authorizing payment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud service providers perform inference tasks using specified models, then computational workload is reduced for end users, but integrity verification becomes complex requiring telemetry comparison
Solution Approach 1:
The patent introduces telemetry information as an intermediary mechanism to verify model execution integrity. Instead of directly verifying model outputs or maintaining complex trust relationships, the system uses telemetry data (CPU usage, memory consumption, execution time) as a mediator to indirectly confirm that the specified model was actually executed by the CSP. This resolves the contradiction by providing verification capability without requiring direct inspection of computational processes.
Solution Approach 2:
The system implements feedback loops where telemetry information is collected from CSP executions, compared against baseline telemetry from local executions, and used to determine payment authorization. This feedback mechanism allows the system to automatically verify integrity and make payment decisions based on the comparison results, reducing manual verification complexity while maintaining productivity benefits.
2Reliability
If end users verify model execution integrity through telemetry comparison, then payment security is improved, but processing time increases due to verification steps
Solution Approach 1:
The patent applies preliminary action by having end users execute the same model locally beforehand to establish baseline telemetry information. This baseline is stored and later used for comparison with CSP execution telemetry, eliminating the need to perform verification calculations in real-time during the payment process. The time-consuming execution and comparison准备工作 is done in advance, thus improving payment security without significantly increasing actual payment processing time.
3Loss of energy
If cloud service providers replace models to reduce computational burden, then operational costs decrease, but model execution integrity deteriorates
Solution Approach 1:
The patent substitutes direct mechanical verification of model execution (inspecting actual computation processes) with a telemetry-based verification system. Instead of monitoring complex computational processes to ensure the correct model runs, the system replaces this with simpler telemetry data collection and comparison, making it easier to detect model substitution while allowing CSPs operational flexibility.
4Measurement precision
If telemetry information is collected and compared for verification, then execution integrity is improved, but data processing complexity increases
Solution Approach 1:
The patent extracts only the essential telemetry information needed for verification (CPU usage, memory consumption, execution time) from the complex CSP execution environment. By selecting and extracting only these specific metrics rather than analyzing all possible execution data, the system achieves precise integrity verification while keeping data processing complexity manageable through focused information extraction.
Data Source
AI summary
Systems, apparatus, articles of manufacture, and methods are disclosed to verify integrity of model execution on computing resources using telemetry information. An example apparatus includes machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to instruct one or more first computing resources of a service provider to process a first model, compare first telemetry performance metrics received from the service provider with second telemetry performance metrics associated with baseline computing resources, and verify an integrity score of the service provider based on a similarity metric associated with the first telemetry performance metrics and the second telemetry performance metrics.