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

Teaching Assistant

Byeonggyu Kim (qudrb6989@postech.ac.kr)

Schedule

Date	Topic
[W1] 2/18	Trustworthy ML Introduction
[W1] 2/20	Measure Theory: Introduction
[W2] 2/25	Learning Theory: PAC learning
[W2] 2/27	Learning Theory: PAC learning
[W3] 3/4	Learning Theory: Beyond PAC learning
[W3] 3/6	Learning Theory: Beyond PAC learning
[W4] 3/11	Learning Theory: Online learning
[W4] 3/13	Learning Theory: Online learning
[W5] 3/18	Controllable Uncertainty Learning: Conformal Prediction
[W5] 3/20	Controllable Uncertainty Learning: Conformal Prediction
[W6] 3/25	Controllable Uncertainty Learning: PAC Conformal Prediction
[W6] 3/27	Controllable Uncertainty Learning: Adaptive Conformal Prediction
[W7] 4/1	Controllable Uncertainty Learning: Selective Prediction
[W7] 4/3	Adversarial Learning: Adversarial Examples and Learning
[W8] 4/8	Adversarial Learning: Certified Adversarial Learning
[W8] 4/10	Adversarial Learning: Certified Adversarial Learning
[W9] 4/15	Differential Privacy: Basics
[W9] 4/17	Differential Privacy: Basics
[W10] 4/22	Differential Privacy: Practice
[W10] 4/24	Machine Unlearning: Linear Models
[W11] 4/29	Machine Unlearning: Linear Models
[W11] 5/1	Machine Unlearning: Deep Models
[W12] 5/6	Children’s Day (Extended)
[W12] 5/8	Fairness in Learning: Foundation
[W13] 5/13	Miscellaneous Topics in TML
[W13] 5/15	Student Presentation 1
[W14] 5/20	Student Presentation 2
[W14] 5/22	Student Presentation 3
[W15] 5/27	Student Presentation 4
[W15] 5/29	Student Presentation 5
[W16] 6/3	Student Presentation 6
[W16] 6/5	Final Exam

📚 Trustworthy ML (2025 Spring)

Trustworthy ML (AIGS703L / CSED703L)

Location

Instructor

Teaching Assistant

Schedule