- utils::vec module: port a mix of vec utils from nova-study, multifolding-poc and protogalaxy-poc repos - pedersen.rs: Pedersen commitment module - other: - update FoldingScheme trait interface: rm rng, update internal types naming as agreed in today's call - update Cargo.toml dev-dependencies imports, since bn254 - grumpkin is not ready yet, use bls12-377 - bw6-761 curve cycle - transcript module: add absorb_point methodupdate-nifs-interface
@ -0,0 +1,127 @@ |
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use ark_ec::{CurveGroup, Group};
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use ark_std::{rand::Rng, UniformRand};
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use std::marker::PhantomData;
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use crate::utils::vec::{vec_add, vec_scalar_mul};
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use crate::transcript::Transcript;
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use ark_crypto_primitives::sponge::Absorb;
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#[derive(Debug, Clone, Eq, PartialEq)]
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pub struct Proof<C: CurveGroup> {
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R: C,
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u: Vec<C::ScalarField>,
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r_u: C::ScalarField,
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}
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#[derive(Debug, Clone, Eq, PartialEq)]
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pub struct Params<C: CurveGroup> {
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h: C,
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pub generators: Vec<C::Affine>,
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}
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#[derive(Debug, Clone, Eq, PartialEq)]
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pub struct Pedersen<C: CurveGroup>
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where
|
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<C as Group>::ScalarField: Absorb,
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{
|
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_c: PhantomData<C>,
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}
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impl<C: CurveGroup> Pedersen<C>
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where
|
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<C as Group>::ScalarField: Absorb,
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{
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pub fn new_params<R: Rng>(rng: &mut R, max: usize) -> Params<C> {
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let generators: Vec<C::Affine> = std::iter::repeat_with(|| C::Affine::rand(rng))
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.take(max.next_power_of_two())
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.collect();
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let params: Params<C> = Params::<C> {
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h: C::rand(rng),
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generators,
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};
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params
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}
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pub fn commit(params: &Params<C>, v: &Vec<C::ScalarField>, r: &C::ScalarField) -> C {
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// h⋅r + <g, v>
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params.h.mul(r) + C::msm(¶ms.generators[..v.len()], v).unwrap()
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}
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|
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pub fn prove(
|
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params: &Params<C>,
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transcript: &mut impl Transcript<C>,
|
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cm: &C,
|
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v: &Vec<C::ScalarField>,
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r: &C::ScalarField,
|
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) -> Proof<C> {
|
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transcript.absorb_point(cm);
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let r1 = transcript.get_challenge();
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let d = transcript.get_challenges(v.len());
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|
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// R = h⋅r_1 + <g, d>
|
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let R: C = params.h.mul(r1) + C::msm(¶ms.generators[..d.len()], &d).unwrap();
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|
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transcript.absorb_point(&R);
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let e = transcript.get_challenge();
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|
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// u = d + v⋅e
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let u = vec_add(&vec_scalar_mul(v, &e), &d);
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// r_u = e⋅r + r_1
|
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let r_u = e * r + r1;
|
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|
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Proof::<C> { R, u, r_u }
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}
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|
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pub fn verify(
|
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params: &Params<C>,
|
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transcript: &mut impl Transcript<C>,
|
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cm: C,
|
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proof: Proof<C>,
|
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) -> bool {
|
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transcript.absorb_point(&cm);
|
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transcript.get_challenge(); // r_1
|
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transcript.get_challenges(proof.u.len()); // d
|
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transcript.absorb_point(&proof.R);
|
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let e = transcript.get_challenge();
|
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|
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// check that: R + cm == h⋅r_u + <g, u>
|
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let lhs = proof.R + cm.mul(e);
|
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let rhs = params.h.mul(proof.r_u)
|
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+ C::msm(¶ms.generators[..proof.u.len()], &proof.u).unwrap();
|
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if lhs != rhs {
|
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return false;
|
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}
|
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true
|
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}
|
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}
|
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|
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#[cfg(test)]
|
|||
mod tests {
|
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use super::*;
|
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use crate::transcript::poseidon::{tests::poseidon_test_config, PoseidonTranscript};
|
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|
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use ark_bls12_377::{Fr, G1Projective};
|
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|
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#[test]
|
|||
fn test_pedersen_vector() {
|
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let mut rng = ark_std::test_rng();
|
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|
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const n: usize = 10;
|
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// setup params
|
|||
let params = Pedersen::<G1Projective>::new_params(&mut rng, n);
|
|||
let poseidon_config = poseidon_test_config::<Fr>();
|
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|
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// init Prover's transcript
|
|||
let mut transcript_p = PoseidonTranscript::<G1Projective>::new(&poseidon_config);
|
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// init Verifier's transcript
|
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let mut transcript_v = PoseidonTranscript::<G1Projective>::new(&poseidon_config);
|
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|
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let v: Vec<Fr> = vec![Fr::rand(&mut rng); n];
|
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let r: Fr = Fr::rand(&mut rng);
|
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let cm = Pedersen::<G1Projective>::commit(¶ms, &v, &r);
|
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let proof = Pedersen::<G1Projective>::prove(¶ms, &mut transcript_p, &cm, &v, &r);
|
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let v = Pedersen::<G1Projective>::verify(¶ms, &mut transcript_v, cm, proof);
|
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assert!(v);
|
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}
|
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}
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@ -1,14 +1,15 @@ |
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use ark_ff::PrimeField;
|
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use ark_ec::CurveGroup;
|
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use ark_std::fmt::Debug;
|
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|
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pub mod poseidon;
|
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|
|||
pub trait Transcript<F: PrimeField> {
|
|||
pub trait Transcript<C: CurveGroup> {
|
|||
type TranscriptConfig: Debug;
|
|||
|
|||
fn new(config: &Self::TranscriptConfig) -> Self;
|
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fn absorb(&mut self, v: &F);
|
|||
fn absorb_vec(&mut self, v: &[F]);
|
|||
fn get_challenge(&mut self) -> F;
|
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fn get_challenges(&mut self, n: usize) -> Vec<F>;
|
|||
fn absorb(&mut self, v: &C::ScalarField);
|
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fn absorb_vec(&mut self, v: &[C::ScalarField]);
|
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fn absorb_point(&mut self, v: &C);
|
|||
fn get_challenge(&mut self) -> C::ScalarField;
|
|||
fn get_challenges(&mut self, n: usize) -> Vec<C::ScalarField>;
|
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}
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@ -0,0 +1 @@ |
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pub mod vec;
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@ -0,0 +1,86 @@ |
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use ark_ff::PrimeField;
|
|||
use ark_std::cfg_iter;
|
|||
|
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#[derive(Clone, Debug, Eq, PartialEq)]
|
|||
pub struct SparseMatrix<F: PrimeField> {
|
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pub n_rows: usize,
|
|||
pub n_cols: usize,
|
|||
pub coeffs: Vec<(usize, usize, F)>,
|
|||
}
|
|||
|
|||
pub fn dense_matrix_to_sparse<F: PrimeField>(m: Vec<Vec<F>>) -> SparseMatrix<F> {
|
|||
let mut r = SparseMatrix::<F> {
|
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n_rows: m.len(),
|
|||
n_cols: m[0].len(),
|
|||
coeffs: Vec::new(),
|
|||
};
|
|||
for (i, m_i) in m.iter().enumerate() {
|
|||
for (j, m_ij) in m_i.iter().enumerate() {
|
|||
if !m_ij.is_zero() {
|
|||
r.coeffs.push((i, j, *m_ij));
|
|||
}
|
|||
}
|
|||
}
|
|||
r
|
|||
}
|
|||
|
|||
pub fn vec_add<F: PrimeField>(a: &[F], b: &[F]) -> Vec<F> {
|
|||
assert_eq!(a.len(), b.len());
|
|||
let mut r: Vec<F> = vec![F::zero(); a.len()];
|
|||
for i in 0..a.len() {
|
|||
r[i] = a[i] + b[i];
|
|||
}
|
|||
r
|
|||
}
|
|||
|
|||
pub fn vec_sub<F: PrimeField>(a: &[F], b: &[F]) -> Vec<F> {
|
|||
assert_eq!(a.len(), b.len());
|
|||
let mut r: Vec<F> = vec![F::zero(); a.len()];
|
|||
for i in 0..a.len() {
|
|||
r[i] = a[i] - b[i];
|
|||
}
|
|||
r
|
|||
}
|
|||
|
|||
pub fn vec_scalar_mul<F: PrimeField>(vec: &[F], c: &F) -> Vec<F> {
|
|||
let mut result = vec![F::zero(); vec.len()];
|
|||
for (i, a) in vec.iter().enumerate() {
|
|||
result[i] = *a * c;
|
|||
}
|
|||
result
|
|||
}
|
|||
|
|||
pub fn is_zero_vec<F: PrimeField>(vec: &[F]) -> bool {
|
|||
for e in vec {
|
|||
if !e.is_zero() {
|
|||
return false;
|
|||
}
|
|||
}
|
|||
true
|
|||
}
|
|||
|
|||
pub fn mat_vec_mul<F: PrimeField>(M: &Vec<Vec<F>>, z: &[F]) -> Vec<F> {
|
|||
assert!(!M.is_empty());
|
|||
assert_eq!(M[0].len(), z.len());
|
|||
|
|||
let mut r: Vec<F> = vec![F::zero(); M.len()];
|
|||
for (i, M_i) in M.iter().enumerate() {
|
|||
for (j, M_ij) in M_i.iter().enumerate() {
|
|||
r[i] += *M_ij * z[j];
|
|||
}
|
|||
}
|
|||
r
|
|||
}
|
|||
|
|||
pub fn mat_vec_mul_sparse<F: PrimeField>(matrix: &SparseMatrix<F>, vector: &[F]) -> Vec<F> {
|
|||
let mut res = vec![F::zero(); matrix.n_cols];
|
|||
for &(row, col, value) in matrix.coeffs.iter() {
|
|||
res[row] += value * vector[col];
|
|||
}
|
|||
res
|
|||
}
|
|||
|
|||
pub fn hadamard<F: PrimeField>(a: &[F], b: &[F]) -> Vec<F> {
|
|||
assert_eq!(a.len(), b.len());
|
|||
cfg_iter!(a).zip(b).map(|(a, b)| *a * b).collect()
|
|||
}
|