CY 4100 — AI Security and Privacy
4 semester hours Undergraduate Lecture usually offered: fall typical days: M Boston Traditional
Studies adversarial attacks on artificial intelligence that impact the security and privacy of these systems. Discusses mitigations against security and privacy vulnerabilities in AI models, and the challenges in making AI trustworthy. Offers an opportunity to read and debate contemporary papers at the forefront of machine learning and cybersecurity. Students develop and implement a semester-long project.
Prerequisites
Offering history Term Sections Enrolled Capacity Full Open seats/section Fall 2025 1 12 30 40% 18.0
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 100% · T 0% · W 0% · Th 0% · F 0%
Common patterns: M (100% of sections)
— in patterns, R means Thursday
Professors Fall Percentages are each professor's average share of the season's enrolled students in recent terms.
Links Official catalog (CY course descriptions) · Student reviews on RateMyHusky · All CY courses · Plan it at numap.app
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Data updated Sep 2026 · page generated 2026-09-10.