2026-27 Fall
AIAA5033 · L01
ZHONG, Bingzhuo
3 Credits · Class #6025 · Reference Capacity 80
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COURSE
AIAA5033
AI Security and Privacy
Information Hub / Artificial Intelligence · 3 Credits
This course introduces potential security and privacy vulnerabilities in Artificial Intelligence (AI) and covers basic and advanced protections. Topics include security and privacy risks in AI technologies, the goal of C.I.A. (Confidentiality, Integrity and Availability) in AI technologies, basic and advanced cryptography, protocol designs for AI security and privacy, etc.
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官方 Course Catalog
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3 Credits
官方数据更新时间: 2026-08-28 05:35:00
背景: Basic knowledge of AI technologies, such as machine learning and federated learning; A bachelor’s degree in computer science or relevant disciplines.
历史目录与其他学期
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Basic knowledge of AI technologies, such as machine learning and federated learning; A bachelor’s degree in computer science or relevant disciplines.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Basic knowledge of AI technologies, such as machine learning and federated learning; A bachelor’s degree in computer science or relevant disciplines.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Basic knowledge of AI technologies, such as machine learning and federated learning; A bachelor’s degree in computer science or relevant disciplines.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Basic knowledge of AI technologies, such as machine learning and federated learning; A bachelor’s degree in computer science or relevant disciplines.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Basic knowledge of AI technologies, such as machine learning and federated learning; A bachelor’s degree in computer science or relevant disciplines.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Basic knowledge of AI technologies, such as machine learning and federated learning; A bachelor’s degree in computer science or relevant disciplines.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Basic knowledge of AI technologies, such as machine learning and federated learning; A bachelor’s degree in computer science or relevant disciplines.