Trustworthy ML (AIGS703L / CSED703L)

As machine learning and deep learning models are impacting on real world environments (e.g., ChatGPT), concerns on the trustworthiness of machine-learned models are rising. In this course, we explore whether popular machine-learned models are trustworthy and then study various learning methods to enchant the models to be trustworthy. To this end, we will learn basic knowledge on machine learning theory, uncertainty learning via conformal prediction, adversarial examples/learning, machine unlearning, differentially private learning, fairness in learning, and miscellaneous topics on trustworthy generative AI.

Location

B2 Room 107

Instructor

Sangdon Park

Schedule (tentative)

Date	Topic
[Week 1] 9/5	Trustworthy ML Introduction
[Week 1] 9/7	Learning Theory: PAC learning
[Week 2] 9/12	Learning Theory: Beyond PAC learning
[Week 2] 9/14	Learning Theory: Beyond PAC learning
[Week 3] 9/19	Learning Theory: Online learning
[Week 3] 9/21	Learning Theory: Online learning
[Week 4] 9/26	Learning Theory: Statistical Query
[Week 4] 9/28	Korean Thanksgiving holiday
[Week 5] 10/3	National Foundation Day
[Week 5] 10/5	Uncertainty Learning: Conformal Prediction
[Week 6] 10/10	Uncertainty Learning: PAC Conformal Prediction
[Week 6] 10/12	Uncertainty Learning: Adaptive Conformal Prediction
[Week 7] 10/17	Student Presentation 1
[Week 7] 10/19	Adversarial Learning: Adversarial Example / Heuristic Adversarial Learning
[Week 8] 10/24	Adversarial Learning: Certified Adversarial Learning
[Week 8] 10/26	Machine Unlearning 1
[Week 9] 10/31	Student Presentation 2
[Week 9] 11/2	Machine Unlearning 2
[Week 10] 11/7	Differential Privacy 1
[Week 10] 11/9	Student Presentation 3
[Week 11] 11/14	Student Presentation 3.5
[Week 11] 11/16	Differential Privacy 2
[Week 12] 11/21	Fairness in Learning 1
[Week 12] 11/23	Fairness in Learning 2
[Week 13] 11/28	Student Presentation 4
[Week 13] 11/30	Student Presentation 5
[Week 14] 12/5	Code Generation
[Week 14] 12/7	Copyright
[Week 15] 12/12	Student Presentation 6
[Week 15] 12/14	Student Presentation 7
[Week 16] 12/19	Student Presentation 8
[Week 16] 12/21	Student Presentation 9