CMPE 113 - AI Security & Privacy

3 unit(s)
Introduction to security and privacy practices for artificial intelligence and machine learning systems. Exploration of how to attack and defend AI, adversarial ML, bias, fairness, data privacy, robustness, and ethical design through hands-on projects. Emphasis on developing the ability to analyze and communicate findings clearly, tailoring explanations for both technical and non-technical audiences.

Prerequisite(s): (CMPE 30 or CS 46A) and (MATH 33LA, or MATH 39, or ME 130, or CHE 110A/MATE 110A), or equivalent, or instructor consent.
Grading: Letter Graded

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