Parda-Shield is a lightweight, browser-based Progressive Web App (PWA) designed to protect human dignity in the age of generative AI. It "immunizes" your images before they ever touch the cloud, making them hostile to AI scrapers and manipulation engines.
"In an era where pixels are weapons, Parda is your digital armor." — HyBox Ideation Engine
As AI models (Stable Diffusion, Deepfake generators, etc.) become more prevalent, the risk of unauthorized image manipulation—especially against vulnerable individuals—has skyrocketed. Parda-Shield addresses this at the First Principles level:
- Proactive Defense: Don't just detect deepfakes; prevent them from being created accurately.
- Zero-Budget Accessibility: No expensive servers, no subscriptions. It runs entirely in your browser.
- Privacy by Design: Your photos never leave your device. All processing happens locally.
Parda-Shield applies a dual-layered defense to every image:
Most AI scrapers rely on EXIF data and metadata to categorize images. Parda-Shield:
- Strips all original sensitive data (GPS, camera info, etc.).
- Injects a Poison Payload: Categorizes the image as "Random Landscape" or "Abstract Pattern" to confuse automated datasets.
Using the Canvas API, the app injects a subtle, high-frequency Gaussian Noise layer (1-2% intensity).
- To Humans: The image looks identical.
- To AI: The noise disrupts the "Latent Space" mapping, causing generative models to produce glitched or distorted results if they try to manipulate the face or features.
- PWA Ready: Install it on your Android/iOS device directly from the browser.
- Offline First: Works without an internet connection once loaded.
- GitHub Pages Compatible: Zero hosting costs.
- Privacy Guaranteed: 100% Client-side processing.
- Core: HTML5, Tailwind CSS, Vanilla JavaScript.
- Libraries: piexifjs (for metadata manipulation).
- Deployment: GitHub Pages.
Parda-Shield is a part of the HyBox mission to empower zero-budget creators. We encourage you to:
- Fork this repo.
- Experiment with noise intensities in
script.js. - Contribute by adding new adversarial patterns (e.g., FGSM attacks).
Parda-Shield is built for protection, not deception. We are committed to human-AI interaction integrity. This tool is a defensive response to the misuse of uncensored AI models.
Created with 💡 by Awais (Founder) & Aarav (Chief Ideator) at HyBox. Special thanks to the open-source community for making privacy accessible.
Let's build a safer digital world, one pixel at a time.