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\documentclass{article} |
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\usepackage[utf8]{inputenc} |
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\usepackage{amsfonts} |
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\usepackage{amsthm} |
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\usepackage{amsmath} |
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\usepackage{enumerate} |
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\usepackage{hyperref} |
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\usepackage{etoolbox} |
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\apptocmd{\sloppy}{\hbadness 4000\relax}{}{} |
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\theoremstyle{definition} |
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\newtheorem{definition}{Def}[section] |
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\newtheorem{theorem}[definition]{Thm} |
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\title{Paper notes} |
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\author{arnaucube} |
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\date{} |
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\begin{document} |
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\maketitle |
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\begin{abstract} |
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Notes taken while reading papers. Usually while reading papers I take handwritten notes, this document contains some of them re-written to $LaTeX$. |
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The notes are not complete, don't include all the steps neither all the proofs. |
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\end{abstract} |
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\tableofcontents |
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\section{SnarkPack} |
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Notes taken while reading SnarkPack paper \cite{cryptoeprint:2021/529}. |
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Groth16 proof aggregation. |
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\begin{enumerate}[i.] |
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\item Simple verification:\\ |
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Proof: $\pi_i = (A_i, B_i, C_i)$\\ |
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Verifier checks: $e(A_i, B_i) == e(C_i, D)$\\ |
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Where $D$ is the $CRS$. |
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\item Batch verification: |
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$r \in^\$ F_q$\\ |
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$r^i \cdot e(A_i, B_i) == e(C_i, D)$\\ |
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$\Longrightarrow \prod e(A_i, B_i)^{r^i} == \prod e(C_i, D)^{r^i}$\\ |
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$\Longrightarrow \prod e(A_i, B_i^{r^i}) == \prod e(C_i^{r^i}, D)$ |
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\item Snark Aggregation verification:\\ |
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$z_{AB} = \prod e(A_i, B_i^{r^i})$\\ |
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$z_C = \prod C_i^{r^i}$\\ |
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Verification: $z_{AB} == e(z_C, D)$ |
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\end{enumerate} |
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\section{Sonic} |
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Notes taken while reading Sonic paper \cite{cryptoeprint:2019/099}. Does not include all the steps, neither the proofs. |
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\subsection{Structured Reference String} |
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$\{ \{g^{x^i}\}_{i=-d}^d, \{ g^{\alpha x^i} \}_{i=-d, i \neq 0}^d, \{ h^{x^i}, h^{\alpha x^i} \}_{i=-d}^d, e(g, h^\alpha) \}$ |
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\subsection{System of constraints} |
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Multiplication constraint: $a \cdot b = c$ |
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$Q$ linear constraints: |
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$$ |
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a \cdot u_q + b \cdot v_q + c \cdot w_q = k_q |
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$$ |
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with $u_q, v_q, w_q \in \mathbb{F}^n$, and $k_q \in \mathbb{F}_p$. |
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\vspace{0.5cm} |
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Example: $x^2 + y^2 = z$ |
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$$a = (x, y), \qquad b = (x, y), \qquad c = (x^2, y^2)$$ |
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\begin{enumerate}[i.] |
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\item $(x, y) \cdot (1, 0) + (x, y) \cdot (-1, 0) + (x^2, y^2) \cdot (0, 0) = 0 \longrightarrow x - x = 0$ |
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\item $(x, y) \cdot (0, 1) + (x, y) \cdot (0, -1) + (x^2, y^2) \cdot (0, 0) = 0 \longrightarrow y - y = 0$ |
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\item $(x, y) \cdot (0, 0) + (x, y) \cdot (0, 0) + (x^2, y^2) \cdot (1, 1) = z \longrightarrow x^2 + y^2 = z$ |
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\end{enumerate} |
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So, |
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$$u_1 = (1, 0) \quad v_1=(-1, 0) \quad w_1=(0, 0) \quad k_1=0$$ |
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$$u_2 = (0, 1) \quad v_2=(0, -1) \quad w_2=(0, 0) \quad k_2=0$$ |
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$$u_3 = (0, 0) \quad v_3=(0, 0) \quad w_3=(1, 1) \quad k_2=z$$ |
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\vspace{1cm} |
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Compress n multiplication constraints into an equation in formal indeterminate $Y$: |
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$$\sum_{i=1}^n (a_i b_i - c_i) \cdot Y^i = 0$$ |
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encode into negative exponents of $Y$: |
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$$\sum_{i=1}^n (a_i b_i - c_i) \cdot Y^-i = 0$$ |
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Also, compress the $Q$ linear constraints, scaling by $Y^n$ to preserve linear independence: |
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$$ |
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\sum_{q=1}^Q (a \cdot u_q + b \cdot v_q + c \cdot w_q - k_q) \cdot Y^{q+n} = 0 |
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$$ |
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Polys: |
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\begin{align} |
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\nonumber & u_i(Y) = \sum_{q=1}^Q Y^{q+n} \cdot u_{q, i}\\ |
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\nonumber & v_i(Y) = \sum_{q=1}^Q Y^{q+n} \cdot v_{q, i}\\ |
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\nonumber & w_i(Y) = -Y^i - Y^{-1} + \sum_{q=1}^Q Y^{q+n} \cdot w_{q, i}\\ |
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\nonumber & k(Y) = \sum_{q=1}^Q Y^{q+n} \cdot k_q |
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\end{align} |
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Combine the multiplicative and linear constraints to: |
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\begin{align} |
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\nonumber & a \cdot u(Y) + b \cdot v(Y) + c \cdot w(Y) |
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+ \sum_{i=1}^n a_i b_i (Y^i + Y^{-i}) - k(Y) = 0 |
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\end{align} |
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where $a \cdot u(Y) + b \cdot v(Y) + c \cdot w(Y)$ is embeded into the constant term of the polynomial $t(X, Y)$. |
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Define $r(X, Y)$ s.t. $r(X, Y) = r(XY, 1)$. |
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$$\Longrightarrow r(X, Y) = \sum_{i=1}^n (a_i X^i Y^i + b_i X^{-i} Y^{-i} + c_i X^{-i-n} Y^{-i-n})$$ |
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$$s(X, Y) = \sum_{i=1}^n (u_i(Y) X^{-i} + v_i(Y) X^i + w_i(Y) X^{i+n})$$ |
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$$r'(X, Y) = r(X, Y) + s(X, Y)$$ |
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$$t(X, Y) = r(X, Y) + r'(X, Y) - k(Y)$$ |
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The coefficient of $X^0$ in $t(X, Y)$ is the left-hand side of the equation. |
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Sonic demonstrates that the constant term of $t(X, Y)$ is zero, thus demonstrating that our constraint system is satisfied. |
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\subsubsection{The basic Sonic protocol} |
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\begin{enumerate}[1.] |
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\item Prover constructs $r(X, Y)$ using their hidden witness |
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\item Prover commits to $r(X, 1)$, setting the maximum degree to n |
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\item Verifier sends random challenge $y$ |
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\item Prover commits to $t(X, y)$. The commitment scheme ensures that $t(X, y)$ has no constant term. |
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\item Verifier sends random challenge $z$ |
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\item Prover opens commitments to $r(z, 1), r(z, y), t(z, y)$ |
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\item Verifier calculates $r'(z, y)$, and checks that |
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$$r(z, y) \cdot r'(z, y) - k(y) == t(z, y)$$ |
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\end{enumerate} |
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Steps $3$ and $5$ can be made non-interactive by the Fiat-Shamir transformation. |
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\subsubsection{Polynomial Commitment Scheme} |
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Sonic uses an adaptation of KZG \cite{kzg-tmp}, want: |
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\begin{enumerate}[i.] |
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\item \emph{evaluation binding}, i.e. given a commitment $F$, an adversary cannot open F to two different evaluations $v_1$ and $v_2$ |
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\item \emph{bounded polynomial extractable}, i.e. any algebraic adversary that opens a commitment $F$ knows an opening $f(X)$ with powers $-d \leq i \leq max, i \neq 0$. |
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\end{enumerate} |
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\vspace{0.5cm} |
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PC scheme (adaptation of KZG): |
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\begin{enumerate}[i.] |
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\item Commit(info, $f(X)$) $\longrightarrow F$: |
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$$F = g^{\alpha \cdot x^{d-max}} \cdot f(x)$$ |
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\item Open(info, $F$, $z$, $f(x)$) $\longrightarrow (f(z), W)$: |
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$$w(X) = \frac{f(X) - f(z)}{X-z}$$ |
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$$W = g^{w(x)}$$ |
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\item Verify(info, $F$, $z$, $(v, W)$) $\longrightarrow 0/1$:\\ |
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Check: |
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$$e(W, h^{\alpha \cdot x}) \cdot |
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e(g^v W^{-z}, h^{\alpha}) |
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== e(F, h^{x^{-d+max}})$$ |
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\end{enumerate} |
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\subsection{Succint signatures of correct computation} |
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Signature of correct computation to ensure that an element $s=s(z, y)$ for a known polynomial |
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$$s(X, Y) = \sum_{i, j = -d}^d s_{i, j} \cdot X^i \cdot Y^i$$ |
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Use the structure of $s(X, Y)$ to prove its correct calculation using a \emph{permutation argument} $\longrightarrow$ \emph{grand-product argument} inspired by Bayer and Groth, and Bootle et al. |
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Restrict to constraint systems where $s(X, Y)$ can be expressed as the sum of $M$ polynomials. Where $j-th$ poly is of the form: |
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$$ |
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\Psi_j(X, Y) = |
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\sum_{i=1}^n \psi_{j, \sigma_{j, i}} |
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\cdot X^i \cdot Y^{\sigma_{j, i}} |
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$$ |
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where $\sigma_j$ is the fixed polynomial permutation, and $\phi_{j, i} \in \mathbb{F}$ are the coefficients. |
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\vspace{1cm} |
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\framebox{WIP} |
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\vspace{1cm} |
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\bibliography{paper-notes.bib} |
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\bibliographystyle{unsrt} |
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\end{document} |