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protection-algorithm

Official

Secure your artwork with advanced adversarial perturbations.

Software Engineering#image processing#image protection#adversarial learning#artwork security#AI defense
AuthorHopeArtOrg
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill implements the SPSA-PGD adversarial perturbation pipeline for image protection, safeguarding artwork against unauthorized AI training and style mimicry.

Core Features & Use Cases

  • Adversarial Perturbation: Applies noise, style cloaking, and data poisoning to images.
  • Algorithmic Flexibility: Supports various protection algorithms for different threat vectors.
  • Use Case: Imagine you are an artist looking to protect your digital art from AI-driven style mimicry. This Skill can be used to apply style cloaking and data poisoning to your images, making them resistant to AI learning.

Quick Start

Use the protection-algorithm skill to apply noise to your image 'artwork.jpg'.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: protection-algorithm
Download link: https://github.com/HopeArtOrg/hope-re/archive/main.zip#protection-algorithm

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

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