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PromptCARE

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

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Introduction

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.

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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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