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Privacy Awareness, Responsibility and Trustworthy Lab
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Privacy Awareness, Responsibility and Trustworthy Lab
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Differential privacy

Reem Arnaout

Intern, King Abdullah University of Science and Technology

wireless communication Signal processing Radio Frequency Localization Differential privacy Federated learning Network and Software Security

Visiting student at King Abdullah University of Science and Technology (KAUST).
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

This dissertation centers around privacy-preserving technologies (differential privacy) in broad machine learning applications. This dissertation focuses on two sides of differential privacy: 1) designing privacy-preserving algorithms, 2) ensuring the falsifiability of privacy claims.

Privacy Awareness, Responsibility and Trustworthy Lab (PART)

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