---
license: mit
tags:
- adversarial-ml
- security
- enterprise
- robustness
- cybersecurity
library_name: pytorch
datasets:
- mnist
- fashion_mnist
---

# Enterprise Adversarial ML Governance Engine v5.0 LTS

Production-ready autonomous security nervous system for adversarial ML defense.

## Quick Start
```python
from models.base.mnist_cnn import MNISTCNN
import torch

model = MNISTCNN()
model.load_state_dict(torch.load("models/pretrained/mnist_cnn_fixed.pth"))
model.eval()
Performance
MetricValue
Clean Accuracy99.0%
Robustness Score88.0/100
FGSM (ε=0.3) Success3.4%
PGD (ε=0.3) Success3.4%
DeepFool Success1.3%
C&W L2 Success1.0%

Enterprise API
bash
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uvicorn api_enterprise:app --host 0.0.0.0 --port 8000
Citation
bibtex
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@software{enterprise_adversarial_ml_2026,
  title={Enterprise Adversarial ML Governance Engine v5.0 LTS},
  author={Ariyan-Pro},
  year={2026},
  url={https://huggingface.co/Ariyan-Pro/enterprise-adversarial-ml-governance-engine}
}