photoguard
advertorch
| photoguard | advertorch | |
|---|---|---|
| 7 | 1 | |
| 520 | 1,273 | |
| 0.0% | 0.6% | |
| 1.8 | 0.0 | |
| about 1 year ago | 8 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU Lesser General Public License v3.0 only |
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photoguard
- PhotoGuard - сервіс для захисту зображень від нейромереж. Працює за допомогою моделей редагування фотографій на основі машинного навчання, таких як Stable Diffusion.
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Are there any tools for "Defend Against the Dark Arts" of diffusion?
I've been searching for a tool to create Diffusion-resistant images, and I came across the Photoguard repository and tried it, the results weren't so good (very strange colorful noises on the image, which makes it unusable)
- Raising the Cost of Malicious AI-Powered Image Editing
- PhotoGuard: Defending Against Diffusion-Based Image Manipulation
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Welcome to a community to discuss what to do about the negative effects of AI art
- PhotoGuard can help to protect images from being able to be edited by Stable Diffusion with inpainting, it can theoretically also help to protect artwork from being finetuned by a model: https://github.com/MadryLab/photoguard
- Somebody implemented a photoguard against inpainting.
advertorch
What are some alternatives?
web-stable-diffusion - Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both
timm-vis - Visualizer for PyTorch image models
TextAttack - TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
stable-diffusion-webui-colab - stable diffusion webui colab
nlpaug - Data augmentation for NLP
mlattacks - Machine Learning Attack Series
AugMax - [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.