Secure Image Sharing and Protection Platform for Creators and Privacy-Conscious Users
Authograph is a final-year Bachelor's project built to address the growing misuse of copyrighted images and artworks on the internet. Designed for digital artists, photographers, and privacy-focused individuals, the platform enables secure sharing of images while retaining full control over ownership, usage, and privacy.
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Image Encryption
Encrypt images before uploading to ensure only authorized users can access the content. -
Watermarking
Add visible or invisible watermarks to protect against unauthorized use and assert ownership. -
Steganography-Based Source Tracking
Embed source or author information directly into the image using steganography, allowing origin tracking even if metadata is stripped. -
DRM Controls
Share images with specific users through access codes and customizable permissions (view/download limits, expiration dates, etc.). -
AI Protection (Adversarial Perturbation)
Apply imperceptible perturbations to images to prevent AI models from recognizing or misusing them.
- Frontend: SvelteKit – Reactive, lightweight framework for building modern web interfaces.
- Backend: Django – Secure and scalable Python-based web framework.
- Database: PostgreSQL – Reliable and powerful open-source relational database.
- AI Model Hosting: Azure Cloud – Scalable deployment for adversarial perturbation processing.
With the increasing prevalence of AI and digital platforms, content creators face significant risks related to copyright infringement and unauthorized use. Authograph provides an all-in-one solution to:
- Safeguard image ownership
- Prevent misuse by humans and AI systems
- Maintain trust and privacy when sharing visual content online
- ✅ Core features implemented
- ☁️ Models deployed on Azure
- 🧪 Tested with real-world use cases and adversarial scenarios
This project is intended for academic and educational purposes.
Note: This project was developed as part of the final-year curriculum for a Bachelor's degree in Computer Science, driven by a real-world problem observed in the creative community.