拉普拉斯差分隐私java实现

import java.util.Random; /*** * *@Author ChenjunWang *@Description: *@Date: Created in 22:23 2020/12/22 *@Modified By: * */ public class Laplace { // private double mu; //敏感度/epsilon private double b; public Laplace(double mu, double b) { this.mu = mu; this.b = b; } public double random(double p) { if (p == 0) { return Double.NEGATIVE_INFINITY; } else if (p == 1) { return Double.POSITIVE_INFINITY; } double x = (p > 0.5) ? -Math.log(2.0 - 2.0 * p) : Math.log(2.0 * p); return mu + b * x; } public static void main(String[] args) { Laplace laplace = new Laplace(0, 1 / 0.1); Random random = new Random(); for (int i = 0; i < 1000; i++) { System.out.println(5001 + ((int) laplace.random(random.nextDouble()))); } } }