Week 15: Advanced Topics and Course Wrap-Up
Dates: Apr 19-23 · Reading: Handout 13: Advanced Topics and Future Threats
Learning Objectives
- Describe advanced ML techniques and their security applications
- Identify emerging AI and cybersecurity threats
- Synthesize course concepts into an integrated security and AI strategy
- Prepare for real-world roles involving AI and cybersecurity
Monday Session
Advanced topics: federated, transfer, and few-shot learning in security contexts. Emerging threats: AI-generated malware, adversarial poisoning at scale, new attack vectors. The future of AI and cybersecurity.
Wednesday Session
Synthesis: how all course concepts connect. Review of ML basics, adversarial attacks, LLM security, ethics, governance, and responsible AI. Q&A and exam preparation.
Lab
Lab 12 due this week.
Quiz / This Week
Quiz 12. Advanced ML techniques; emerging threats; synthesis of all course concepts.