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White-Box-LPN

This repository contains all implementations and time samples related to the paper LPN-based Attacks in the White-box Setting.

This repository is divided into three directories:

  • implementations contains the implementations of timeHDDA.sage, timeHODCA.sage, and timeWBLPN.sage used to measure the time of their corresponding algorithms. It also contains our reference implementation of WBLPN.sage and HOWBLPN.sage. Lastly, this repository contains processData.sage, which uses the saved time samples to produce their average and min/max.

  • ourTimeResults contains all of our time samples used to generate the two figures 1 & 2 of our paper.

  • timeResults are empty folders that will be filled by time samples by executing timeHDDA.sage, timeHODCA.sage, and timeWBLPN.sage of the implementations directory.

All implementations begin with tunable parameters if they exist.

WBLPN.sage

This file is the reference implementation of the adaptation of the algorithm "Pooled Gauss" for white-box cryptography. Executing the code will apply WBLPN to random inputs I=20 times, and see if it returns a solution, which in that case would be a false positive. Thereafter, it will apply WBLPN to random inputs that contain a solution for the defined noise rate. If the algorithm does not manage to find one or finds an incorrect one, it prints the number of noised equations of Mpool. Indeed, even if tau =1/4, we cannot be sure that Mpool will not contain more than 1/4 of equations with noise=1.

HOWBLPN.sage

This file is the reference implementation of the higher-order version of WBLPN. Executing the code will run I=20 times HOWBLPN on window size 20 and second order noise rate = 1/2**7, which is the example given on the paper, and print the average. In the paper we did a mistake: we said that it takes 20s, instead of 3s, due to a mistake.

timeWBLPN.sage, timeHODCA.sage, and timeHDDA.sage

These files contain non-optimized implementations of WBLPN, HODCA, and HDDA; and run them for different order/degree/noise rate and window sizes from 5 to 50, for I=20 iterations. For each of these iterations, the time is measured and recorded in the empty folders within timeResults. These implementations resulted in the two figures of our paper.

processData.sage

This file contains a code that opens our time measurements, and computes the average, minimum, and maximum for each of them, to print it on the screen. To make this code process your data, simply change every line stating "ourTimeResults" to "timeResults".