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Johns Hopkins University | EN.695.739

Generative Ai and Synthetic Threats

3.0

credits

Average Course Rating

(-1)

This course covers advanced topics on generative AI and cybersecurity, focusing on AI-based synthetic threats such as disinformation, deepfakes, and social engineering attacks. Through this course, students will learn the fundamentals of genAI-based attack vectors and explore various AI models (text-to text, text-to-image, image-to-image, text-to-video, etc.) Students will use state-of-the-art tools for defending against genAI-based synthetic threats and gains hands-on experience through lab assignments. Finally, students will deep dive into the world of genAI-based synthetic threats by developing their own research project to address a real-world need.

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Lecture Sections

(8VL)

No location info
S. NathansonY. Yoo
19:20 - 22:00