Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

Related tags

Deep Learning CoProtector
Overview

CoProtector

Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

Install

The tool requires Python3.6+.

The depandences in the following are used:

tree-sitter               0.19.0
pygithub                  1.55 
nltk                      3.5

Usage

Edit config.py following the instruction in README, and run:

python run.py

Config

Property Example Introdution
language 'java' As a prototype tool, CoProtector only supports Java currently.
repo_name 'TheAlgorithms/Java' The user/name of your repositroy
auth_token 'XXXXXX' The access token of your account, which can be obtained here
watermark_feature [{'level': 'word','content': 'coprotector'},{'level': 'word','content': 'coprotector'},{'level': 'sentence','content': 'This is = A.Watermark();'}] The level and content of the features in our watermark backdoor. The length of the list should be 0 or 3.
untargetd_method `'code_corrupting' 'code_renaming'
poison_save_dir './test' The path to store the poison files
poison_file_num 3 The number of poison files to be generated
poison_num 100 The number of poison instances to be genreated

This repository is protected by CoProtector. Do NOT read or run the files with confusing names.

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