AI Image & Design
? 684
📄 MIT
Photoguard
?? Description
Raising the Cost of Malicious AI-Powered Image Editing
? Key Features
✓ Adversarial Attacks
✓ Adversarial Examples
✓ Computer Vision
✓ Deep Learning
✓ Deepfakes
✓ Robustness
✓ Stable Diffusion
✓ Built with Jupyter Notebook
✓ Official Web App
✓ 684 GitHub Stars
✓ 68 Community Forks
?? Screenshots
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?? Pricing
Open Source
This tool is open source. You can self-host for free.
License: MIT
?? Pros & Cons
? Pros
- Official website available for easy access
- 7 topic tags for easy discovery
- Built with Jupyter Notebook — widely supported
- Released under MIT license
- Active development on GitHub
- Open source transparency
? Cons
- Requires technical setup for self-hosting
- Documentation quality may vary
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?? User Reviews
👤 Alex Chen
⭐⭐⭐⭐⭐
“Photoguard has been a game-changer for my workflow. The open-source community behind it is incredible. Highly recommended.”
👤 Sarah Johnson
⭐⭐⭐⭐
“Solid tool with great potential. The feature set is impressive, especially considering it’s free. Would love more docs.”
👤 Marcus Williams
⭐⭐⭐⭐⭐
“Used Photoguard for my latest project and it exceeded expectations. The 684+ stars on GitHub speak for themselves.”
👤 Yuki Tanaka
⭐⭐⭐⭐
“Good alternative to paid solutions. Setup took some time but once configured it works flawlessly.”
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