🤝Security, Privacy, & Trust

Cryptographic AI Asset Protection

  • ZK-Protected AI Data Usage: Users can train AI models on encrypted datasets without direct access, ensuring privacy-preserving AI development.

  • Merkle Proofs for Dataset Integrity: All datasets include on-chain proofs of authenticity, preventing tampering or duplication.

Challenger-Based Fraud Detection

  • Challenger Model: Any participant can challenge datasets/models with fraudulent claims.

  • Slashing Mechanism: If a dataset is found to be invalid or misleading, the submitter is penalized, and challengers are rewarded.

Last updated