mltrust.github.io

Trustworthy machine learning

This site is the official site for KDD 2023 tutorial on Trustworthy Machine Learning: Robustness, Generalization, and Interpretability.

• Time: 1pm-4pm, Aug. 6th, 2023
• Place: Long Beach, CA, USA

Agenda

1. Overview of trustworthiness (Jindong Wang, 10min) [Slides]
2. Robust machine learning (Jindong Wang, 40min) [Slides]
   • Adversarial robustness (basics, emerging topics in adv. robustness, Transformer robustness)
   • Semi-supervised learning (basics, advanced algorithms, applications)
3. OOD generalizaiton (Haohan Wang, 40min) [Slides]
4. Interpretability (Haohan Wang, 40min) [Slides]
5. Trustworthiness in the era of large models (Jindong Wang, 40min) [Slides]
   • Evaluation
   • Enhancement

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