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anton96vice/
StegaDNA-Mojo-StegaStamp

Name: StegaDNA-Mojo-StegaStamp
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StegaDNA-V5-StegaStamp 🧬

StegaDNA-V5-StegaStamp is a high-performance deep steganography model mathematically designed to embed an indestructible "DNA" digital signature into images, making them robust to print-and-scan and screen-capture distortions (the "Analog Hole").

🚀 Key Achievements

Near-Perfect Visual Fidelity: Attains ~48 dB PSNR, rendering the embedded data invisible to the human eye.
Reed-Solomon Error Correction: Encodes the message with Reed-Solomon (via Mojo) mapping 10 signature bytes and 6 ECC repair bytes into 128 Bits, meaning full text recovery is achieved even if up to 20% of bits flip during camera scanning.
Camera-Angle Localization: Built natively with a Spatial Transformer Network (STN) enabling the Decoder to automatically predict affine homography adjustments on captured imagery before reading the bits.
Domain-Shift Immune: Eliminates traditional BatchNorm failures by utilizing InstanceNorm2d, guaranteeing pure mathematical stability during isolated physical deployments.

🏗️ Architecture Stack

This V5 architecture relies on a specialized workflow:

U-Net Encoder: A multi-scale residual generator that disperses the 128-bit payload into redundant, variable-frequency spatial features without forming visible artifacts.
Kornia Adversarial Engine: During training, simulated 3D perspectives, zoom, brightness fluctuations, and lens blurs force the encoder into securing extreme physical robustness.
STN-Empowered Decoder: An internal affine tracker aligns the distorted image before high-entropy extraction.

🛠️ Usage

This model requires the StegaDNAUniversalGateway to operate out of the box.

Install the project infrastructure from the source repository:

bash

git clone https://github.com/antonvice/StegaDNA.git
cd StegaDNA

Install using uv:

uv sync

With the server running, you can hit the local endpoint to automatically encode or decode via the browser or Python requests.

python

import requests

# Example of stamping an image with DNA text
files = {'file': open('asset.jpg', 'rb')}
data = {'user_id': 'Secret Provenance Data'}
resp = requests.post('http://localhost:8000/stamp/image', files=files, data=data)

with open('stamped.png', 'wb') as f:
    f.write(resp.content)

📈 Evaluation Matrix

Current isolated network performance metrics per epoch on hold-out standard clean-image splits under heavy v3 noise:

BER (Bit Error Rate): Converging toward < 0.15 (Sufficient for Reed-Solomon guaranteed string recovery)
PSNR (Peak Signal to Noise): > 48.0 dB

Developed as part of the Grably Data Engineering ecosystem. 🛡️

anton96vice/StegaDNA-Mojo-StegaStamp