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  • Nesa Docs
    • Introduction to Nesa
    • Why Nesa Represents the Future of the AI Economy
    • Why Centralized AI Infrastructure Is Broken
    • Why Existing Decentralized AI (DAI) Approaches Are Inadequate
    • Organization of the Documentation
  • Background and Exploratory Notes
  • Major Innovations
    • Private Inference
      • Why Privacy Matters in Decentralized AI
      • Practical Approach: Equivariant Encryption (EE)
      • Scalable Private Inference with HSS-EE
      • Background and Exploratory Notes
        • Hardware Side: Trusted Execution Environments (TEEs)
        • Software/algorithm Side: Data Encryption
        • Software/algorithm Side: Model Verification
        • Privacy Technology
          • Trusted Execution Environment (TEE)
          • Secure Multi-Party Computation (MPC)
          • Verifiable Random Function (VRF)
          • Zero-Knowledge Proof (ZKP)
    • Decentralized AI Infrastructure
    • $NES Utility
    • Background and Exploratory Notes
  • Using Nesa
    • Getting Started
    • Via Web
    • Via SDK
    • Via IBC
    • Via NESBridge
  • Run a Nesa Node
    • Prerequisites
    • Installation
    • Troubleshooting
    • FAQ
  • Additional Read
  • Links
    • nesa.ai
    • Nesa Playground
    • Nesa Chain Explorer
    • Nesa EVM Explorer
    • Nesa Discord
    • Nesa Twitter
    • Terms of Service
    • Privacy Policy
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On this page
  1. Major Innovations
  2. Private Inference
  3. Background and Exploratory Notes

Privacy Technology

This section provides a deeper look at some of the security and privacy technologies mentioned throughout the book.

Trusted Execution Environment (TEE)Secure Multi-Party Computation (MPC)Verifiable Random Function (VRF)Zero-Knowledge Proof (ZKP)
PreviousConsensus-based Distribution Verification (CDV)NextTrusted Execution Environment (TEE)

Last updated 3 days ago