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

Last update: Oct 26, 2021

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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.

Owner

Zhensu Sun

PhD Candidate Candidate

Zhensu Sun

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