Trustworthy Machine Learning
An introduction to technologies that support building trustworthy machine learning systems. Topics include, but are not limited to, adversarial machine learning, privacy-preserving machine learning, transparency in machine learning, and fairness of machine learning.
Not offered on a regular basis.
Credit Hours:
4
Prerequisites:
CSCI 4260/6260 or permission of department
Level: