# On Verifying Public Coin Protocols inside ZK Proofs

Let’s say you have a public coin protocol $\Sigma$, and you’ve Fiat-Shamirized it to create a non-interactive proof system.

You might want to be able to verify these proofs inside of another ZK proof system. For example, these protocol proofs might be quick to generate, but large, so you could use a SNARK proof to compress them.

A priori, this would require running the Fiat-Shamir process inside of the circuit used for the second layer proof, which would require a hash function invocation in circuit, which may not be ideal.

You can actually avoid this invocation by using a commitment scheme.

The idea is that before the execution of the second layer ZK proof systems, you execute $N$ rounds, for each of the public messages in $\Sigma$. In each round, you send the commitment $C_i = \text{Com}(M_i)$ for the message the prover sends in round $i$ of $\Sigma$. In each round, you receive a challenge $e_i$ generated in the same way as in $\Sigma$.

Then, you you use your second layer ZK proof for the relation:

\begin{aligned} \{&(x, C_0, \ldots, C_N, e_0, \ldots, e_N | w, M_0, \ldots, M_N, r_0, \ldots, r_N) :\cr &\Sigma.\text{Verify}(x, M_0, \ldots, M_N, e_0, \ldots, e_N) \land\cr &\forall i.\ \text{Decom}(C_i, M_i, r_i)\} \end{aligned}

In essence, you prove that the public coin protocol validates the messages and challenges, and that the messages correspond with the commitments you sent initially.

# Cost

This increase communication complexity by $N$ times the size of a commitment, which really isn’t that much.

# Why?

If “ZK Proofs with Commitment” are particularly efficient, this might be faster than doing the Fiat-Shamir hashing inside of the second layer proof. I think it might be interesting to explore this notion in more depth, because using commitments also allows combining together proofs for different statements, tying them to the same input by using commitments.

If the commitment amounts to just hashing the inputs, this might still be advantageous if more complex sampling is needed, for example if you need to sample trits or a sampling without repetition from a subset, etc.

This also works if you actually send the messages $M_i$ rather than commitments, which might be interesting in certain cases, like MPC in the head.