Encrypted model inference is a method that allows machine learning models to make predictions on data without ever seeing the raw, unencrypted information. This is achieved by using special cryptographic techniques so that the data remains secure and private throughout the process. The model processes encrypted data and produces encrypted results, which can then be…
Encrypted Model Inference
- Post author By EfficiencyAI
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- Categories In Artificial Intelligence, Cryptographic Primitives, Privacy-Preserving Technologies