How is verifiable computing implemented by ZKP?

ZKP, or Zero-Knowledge Proof, is a cryptographic method that allows one party to prove to another that a statement is true without revealing any specific information about the statement itself. In the context of verifiable computing, ZKP can be utilized to verify that computations were executed correctly on a binary app without actually having to re-execute or inspect the computation in detail. This means that even if a malevolent actor attempts to hack or tamper with the binary app's execution, they cannot falsify the ZKP. This is because the proof generated is mathematically bound to the correctness of the computation; any deviation from the correct execution would result in a proof that fails to verify. Therefore, using ZKP ensures that the computational results can be trusted without compromising privacy or revealing underlying data.

Imagine you have a magic box that can solve puzzles. You give a friend a puzzle to put inside the box. The box then spits out a "solved" ticket if it successfully solves the puzzle. Zero-Knowledge Proof (ZKP) is like this magic box. It can prove that a computer program did its job correctly without revealing what the job was or how it was done. So, even if someone tries to trick the magic box, they can't fake the "solved" ticket. In this way, you can trust the box's answer without knowing all its secrets.