Hideaki Takahashi Koukyosyumei

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This file can be included into other zkREPLs with include "gist:4149b97a72b4f51714620ecfaaf139fc";

Real-world networking datasets

Please comment below if you have an update, e.g., with another networking-related dataset.

以下転載:

公式リファレンス: pwntools

最新版を降らせる
pip install "git+https://github.com/Gallopsled/pwntools#egg=pwntools"

	// run on https://zkrepl.dev/

	pragma circom 2.1.6;

	include "circomlib/poseidon.circom";

	template SumLargerThanTen() {
	signal input a;
	signal output b;

	include "circomlib/bitify.circom";
	include "circomlib/gates.circom";

	// CalculateTotal and QuinSelector taken from
	// https://github.com/darkforest-eth/circuits/tree/master/perlin
	template CalculateTotal(n) {
	signal input in[n];
	signal output out;

	signal sums[n];

	pragma circom 2.1.8;
	include "./node_modules/circomlib/circuits/multiplexer.circom";
	include "./node_modules/circomlib/circuits/comparators.circom";

	// checks if the second array is a
	// permutation of the first based on
	// the advice
	template ForceIsPermutation(n) {
	signal input in1[n];
	signal input in2[n];

	import torch

	def projected_gradient_descent(model, x, y, loss_fn, num_steps, step_size, step_norm, eps, eps_norm,
	clamp=(0,1), y_target=None):
	"""Performs the projected gradient descent attack on a batch of images."""
	x_adv = x.clone().detach().requires_grad_(True).to(x.device)
	targeted = y_target is not None
	num_channels = x.shape[1]

	for i in range(num_steps):