An inner product proof is a cryptographic primitive allowing a prover to demonstrate knowledge of a vector’s inner product with another vector without disclosing the individual vector components. It offers a concise method for verifying complex mathematical statements. This proof type is fundamental in privacy-preserving cryptography.
Context
This proof system is applied in advanced zero-knowledge proofs and confidential transaction protocols on blockchains. It helps compress the size of cryptographic proofs, which is crucial for improving the scalability and privacy of digital asset systems. Its continued development contributes to more efficient and secure decentralized networks.
The new proof-composition framework casts verifiable machine learning as succinct matrix computations, delivering linear prover time and architecture privacy for decentralized AI.
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