https://github.com/durellwilson/security-awareness-course
🛡️ Comprehensive security course: Deepfakes & Prompt Injections - Detection, Prevention & Response
https://github.com/durellwilson/security-awareness-course
ai-safety ai-security cybersecurity deepfakes detroit education hacktoberfest machine-learning mdbook open-source prompt-injection security
Last synced: 8 days ago
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🛡️ Comprehensive security course: Deepfakes & Prompt Injections - Detection, Prevention & Response
- Host: GitHub
- URL: https://github.com/durellwilson/security-awareness-course
- Owner: durellwilson
- Created: 2025-10-31T14:12:52.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-12-05T14:19:20.000Z (7 months ago)
- Last Synced: 2025-12-09T00:15:16.060Z (7 months ago)
- Topics: ai-safety, ai-security, cybersecurity, deepfakes, detroit, education, hacktoberfest, machine-learning, mdbook, open-source, prompt-injection, security
- Language: Swift
- Size: 1.59 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Security: SECURITY.md
Awesome Lists containing this project
README
# Security Awareness Course
[](https://github.com/durellwilson/security-awareness-course/actions/workflows/deploy.yml)
[](https://opensource.org/licenses/MIT)
[](https://hacktoberfest.com)
[](CONTRIBUTING.md)
> Comprehensive, peer-reviewed security awareness training for deepfakes, prompt injection, and AI security threats.
**📚 [Read the Course](https://durellwilson.github.io/security-awareness-course/)** | **🤝 [Contribute](CONTRIBUTING.md)** | **💬 [Discuss](https://github.com/durellwilson/security-awareness-course/discussions)**
---
## 🎯 What You'll Learn
### Deepfake Security
- Detection techniques (visual, audio, metadata)
- Prevention strategies (authentication, verification)
- Incident response procedures
- Forensic analysis methods
### AI Security
- Prompt injection attacks and defenses
- LLM security best practices
- Input validation and sanitization
- Output filtering and monitoring
### Industry Standards
- NIST AI Risk Management Framework
- OWASP Top 10 for LLM Applications
- ISO/IEC 42001:2023 (AI Management)
- C2PA Content Authenticity
### Legal & Compliance
- GDPR, CCPA, BIPA regulations
- Criminal statutes (18 USC §2252, CFAA)
- Civil liability and remedies
- International frameworks
## 📖 Course Structure
**20+ Chapters** organized into:
1. **Basics** - Understanding deepfakes and AI threats
2. **Detection** - Identifying manipulated content
3. **Prevention** - Protecting systems and users
4. **Response** - Handling security incidents
5. **Advanced** - Forensics, legal, standards, threat intelligence
6. **Community** - Learning paths and resources
## 🚀 Quick Start
### Read Online
Visit **[durellwilson.github.io/security-awareness-course](https://durellwilson.github.io/security-awareness-course/)**
### Run Locally
```bash
# Clone repository
git clone https://github.com/durellwilson/security-awareness-course.git
cd security-awareness-course
# Install mdBook
cargo install mdbook
# Serve locally
cd book && mdbook serve
# Open http://localhost:3000
```
## 🤝 Contributing
We welcome contributions from the security community!
### Ways to Contribute
- 📊 **Research**: Submit peer-reviewed findings
- 💻 **Code**: Add detection/prevention examples
- 📝 **Documentation**: Improve explanations
- 🔍 **Case Studies**: Document real incidents
- 🌍 **Translation**: Internationalize content
See **[CONTRIBUTING.md](CONTRIBUTING.md)** for detailed guidelines.
### Recognition Levels
- 🌱 **Contributor**: 1+ merged PR
- 🌿 **Regular**: 5+ merged PRs
- 🌳 **Core**: 20+ merged PRs
## 🔬 Research Quality
All content is backed by **peer-reviewed research**:
- ✅ Academic journals (IEEE, ACM, California Law Review)
- ✅ Government standards (NIST, CISA, NSA)
- ✅ Industry frameworks (OWASP, MITRE ATT&CK)
- ✅ Reputable vendors (Microsoft, Google, IBM)
**15+ Citations** with DOI/arXiv verification links.
## 🛠️ Technical Stack
- **Documentation**: [mdBook](https://rust-lang.github.io/mdBook/)
- **CI/CD**: GitHub Actions (test, build, deploy)
- **Hosting**: GitHub Pages
- **Security**: Trivy scanning, markdown linting
- **Quality**: Automated spell checking, link validation
## 📊 Statistics
- **500%** increase in deepfake videos (2022-2024)
- **73%** of LLM apps vulnerable to prompt injection
- **96%** of deepfakes are non-consensual content
- **$4.5M** average data breach cost
*Sources: Sensity AI, Microsoft Security, IBM Security*
## 🎓 Learning Paths
### Beginner (2-4 weeks)
Introduction → Basics → Detection → Prevention
### Intermediate (4-8 weeks)
Beginner + Prompt Injection → Advanced Detection → Incident Response
### Advanced (8-12 weeks)
Intermediate + Forensics → Legal → Standards → Threat Intelligence
## 🌟 Community
### Detroit Open Source
Part of the **Detroit tech community** contributing to:
- Developer education
- Security awareness
- Open source collaboration
- Hacktoberfest initiatives
### Connect
- **GitHub Discussions**: Ask questions, share insights
- **Issues**: Report bugs, request features
- **Pull Requests**: Contribute improvements
## 📜 License
MIT License - see [LICENSE](LICENSE) for details.
## 🔒 Security
Found a vulnerability? See [SECURITY.md](SECURITY.md) for responsible disclosure.
## 🙏 Acknowledgments
Built with contributions from the open source security community.
**Key Research Sources**:
- Chesney & Citron (2019) - California Law Review
- Tolosana et al. (2020) - Information Fusion
- Greshake et al. (2023) - arXiv
- NIST AI RMF (2023)
- OWASP LLM Top 10 (2024)
---
**⭐ Star this repo** to support security education!
**🚀 [Start Learning Now](https://durellwilson.github.io/security-awareness-course/)**