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Detection Toolsv1.6.0

Model Extraction Detector

Advanced detection system for identifying model extraction attacks and unauthorized model access attempts.

ZIP Archive
Key Features
  • Query pattern analysis
  • Anomaly detection for extraction attempts
  • Rate limiting recommendations
  • Watermarking verification
  • API abuse detection
  • Real-time alerting
  • Forensic analysis tools
  • Integration with API gateways
System Requirements
  • Python 3.9 or higher
  • Redis (for caching)
  • 8GB RAM minimum
  • Access to API logs
Common Use Cases
1
Protecting commercial ML models
2
API security monitoring
3
Intellectual property protection
4
Abuse prevention
5
Forensic investigation
Installation & Usage
# Extract detector
unzip model-extraction-detector.zip
cd model-extraction-detector

# Install dependencies
pip install -r requirements.txt

# Start Redis
docker run -d -p 6379:6379 redis

# Configure detector
cp config.example.yaml config.yaml
# Edit config.yaml

# Start detection service
python detector.py --config config.yaml

# Monitor dashboard
open http://localhost:8080/dashboard
Documentation & Support

Comprehensive documentation is included in the download package. You'll find:

  • README.md with quick start guide
  • Full API documentation
  • Example configurations and use cases
  • Troubleshooting guide
  • Community support links
License & Legal

This tool is provided for security research and testing purposes only. By downloading and using this tool, you agree to:

  • • Use the tool only on systems you own or have explicit permission to test
  • • Comply with all applicable laws and regulations
  • • Not use the tool for malicious purposes
  • • Follow responsible disclosure practices for any vulnerabilities discovered

Licensed under MIT License. See LICENSE file in the package for full terms.

Ready to Download?

Get started with Model Extraction Detector and enhance your AI security posture today.

This tool is currently under development. The download will be available soon.

For now, you can access the source code and documentation on our resources page or contact us for early access.