- Add comprehensive AI Security lesson covering:
- Common AI security threats (model attacks, data attacks, infrastructure attacks)
- Security best practices for ML development
- Supply chain security
- Adversarial robustness
- Real-world case studies
- Add hands-on security lab notebook with exercises:
- Input validation
- Model integrity verification
- Adversarial example generation
- Secure model serialization
- Security audit checklist
- Update main README to include new security module
This addresses the growing need for AI security education and aligns with OWASP ML Top 10 guidelines.
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