Cryptographic Methods Analysis

From The Foundation for Best Practices in Machine Learning
Technical Best Practice Guideline > Privacy > Cryptographic Methods Analysis

Cryptographic Methods Analysis


Consider the appropriateness of utilizing methods for encrypting all or various parts of the data and/or Model pipeline. When analyzing homomorphic encryption methods, consider Product Integration Strategy and Product Scaling Analysis, as discussed more thoroughly in Section 4- Problem Mapping. Additionally, consider - (a) whether the types of operations and calculations that can be performed meet the requirements of Model Type - Best Fit Analysis, as discussed more thoroughly in Section 5 - Model Decision-Making; and/or (b) whether the encrypted Model processing speed is acceptable with consideration for real world robustness and direct user interaction, as discussed more thoroughly in Section 14 - Performance Robustness.


To (a) ensure appropriate privacy-preserving techniques that are aligned with chosen Models; and (b) highlight associated risks that might occur in the Product Lifecycle.

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