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PromptCARE

PromptCARE

Implementation of the PromptCARE framework for watermark injection and verification for copyright protection.

image for PromptCARE

Introduction

Information

Publisher
AISecKit
Websitegithub.com
Published date2025/04/27

Categories

AI Models
AI Application Platforms
AI Security Monitoring

Tags

Prompt Engineering
Open Source
Model Watermarking

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PromptCARE

PromptCARE is a pioneering framework designed for prompt copyright protection through watermark injection and verification. Developed as part of the research paper "PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification" presented at IEEE S&P 2024, this tool is innovative in ensuring that generated prompt outputs maintain their copyright integrity by embedding recognizable watermarks.

Key Features

Watermark Injection: Injects watermarks into prompts to protect against unauthorized use.
Verification Process: Facilitates the verification of watermarked content to ensure authenticity.
Compatibility with LLaMA: Specifically developed to run with the LLaMA model, enhancing usability for AI applications.

Benefits

Copyright Protection: Safeguards the intellectual property of AI-generated content.
User-Friendly Demo: Provides an online demo for users to explore watermark injection.
Open Source Collaboration: Available for further development and contributions from the open-source community.

This repository includes scripts and tools for implementing the watermarking and verification practice effectively, making it an essential resource for researchers and developers in the AI field.