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Privacy Awareness, Responsibility and Trustworthy Lab
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Mar 8 - Mar 14, 2026

KAUST CEMSE CS Ph.D. Dissertation Defense Cheng-Long Wang Provable and Measurable Machine Unlearning in Modern Learning Systems

Provable and Measurable Machine Unlearning in Modern Learning Systems

Cheng-Long Wang, Ph.D. Student, Computer Science
Mar 10, 10:30 - 12:30

B2 L5 R5209

Machine Unlearning Data Privacy Trustworthy AI Federated learning machine learning AI

Jul 6 - Jul 12, 2025

KAUST-CEMSE-AMCS-PhD-Dissertation-Defense-Lijie-Hu-Towards-Usable-and-Useful-Explainable-A

Towards Usable and Useful Explainable AI

Lijie Hu, Ph.D. Student, Computer Science
Jul 7, 17:00 - 19:00

B3 L5 R5220

explainable AI Large Language Models multimodal models

KAUST-CEMSE-CS-PhD-Dissertation-Defense-Xiaochuan-Gou-Explainability-and-Efficiency-in-Spatio-Temporal-Models

Explainability and Efficiency in Spatio-Temporal Models: Applications to Traffic Forecasting

Xiaochuan Gou, Ph.D. Student, Computer Science
Jul 6, 15:00 - 18:00

B5 L5 R5209

traffic forecasting Graph Neural Networks model interpretability

KAUST-CEMSE-CS-PhD-Dissertation-Defense-Lijie-Zihang Xiang-Modern-Privacy-preserving-Machine-Learning

Modern Privacy-preserving Machine Learning: Rigorous Approach for Data Privacy

Zihang Xiang, Ph.D. Student, Computer Science
Jul 6, 10:00 - 12:00

B3 L5 R5216

privacy-preserving machine learning Differential privacy Federated learning

May 4 - May 10, 2025

Spatiotemporal Machine Learning for Real-world Complex Systems: Enhancing Smart Transportation with Robust AI

ZIyue Li, Assistant Professor, Information Systems Department, University of Cologne, Germany

May 8, 13:00 - 14:00

B1 L4 R4214

Privacy Awareness, Responsibility and Trustworthy Lab (PART)

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