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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 (DeAI) Approaches Are Inadequate
    • Organization of the Documentation
  • Additional Information
    • AI Models: Repository, Standardization, Uniformity
    • Users: Why Do We Need Private Inference?
    • Node Runners: Doing Inference and Earning $NES
  • Major Innovations
    • Privacy & Security
      • Why Privacy Matters in Decentralized AI
      • Equivariant Encryption (EE)
      • HSS-EE: Secure Two-Party Inference at Scale
      • Additional Information
        • Hardware Side: Trusted Execution Environments (TEEs)
          • Trusted Execution Environments (TEEs)
        • Software/algorithm Side: Data Encryption
          • Visioning: Homomorphic Encryption
          • Implementation: Split Learning (HE)
        • Software/algorithm Side: Model Verification
          • Zero-knowledge Machine Learning (ZKML)
          • Consensus-based Distribution Verification (CDV)
        • Privacy Technology
          • Trusted Execution Environment (TEE)
          • Secure Multi-Party Computation (MPC)
          • Verifiable Random Function (VRF)
          • Zero-Knowledge Proof (ZKP)
    • Decentralized AI Infrastructure
      • Why Decentralized AI?
      • Blockchain-based Sequential Neural Sharding (BSNS)
      • Inference Acceleration with MetaInf
      • Additional Information
        • Model Partitioning and Deep Network Sharding
        • Dynamic Sharding of Arbitrary Neural Networks
        • Cache Optimization to Enhance Efficiency
        • Enhanced MTPP Slicing of Topological Order
        • BSNS with Parameter-efficient Fine-tuning via Adapters
        • Swarm Topology
        • Free-Riding Prevention
    • Overview of $NES
      • $NES Utility
    • Definitions
    • Additional Information
      • Nesa's Academic Papers
      • Nesa's Utility Suite
      • DNA on Nesa
  • Using Nesa
    • Getting Started
      • Wallet Setup
      • Testnet Nesa Faucet
    • Via Web
      • Your Nesa Account
      • Selecting an AI Kernel
      • Submitting a Query
    • Via SDK
    • Via IBC
    • Via NESBridge
      • On Sei
  • 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. Privacy & Security
  3. Additional Information

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 9 months ago