Yudong Luo, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Pascal Poupart
Teodora Baluta, PhD candidate
Computer Science, National University of Singapore
Blake VanBerlo, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Jesse Hoey, Alexander Wong
Gustavo Alonso, Professor
Department of Computer Science, ETH Zürich
Wolfgang Lehner, Director, Institute of Systems Architecture
Head, Database Research Group, TU Dresden
Alexander Krause, Postdoctoral Researcher
Database Research Group, TU Dresden
Xiaoyan Xu, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Shane McIntosh
Murray Dunne, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Sebastian Fischmeister
Ahmed Alquraan, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Samer Al-Kiswany
Juba Ziani, Assistant Professor
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech
In this talk, I will be discussing “personalized” (or “individualized”) differential privacy, where different individuals can be offered different epsilons simultaneously within the same computation. I will be presenting two of my recent works on personalized DP in the central model:
Lunjia Hu, PhD candidate
Computer Science Department, Stanford University
Machine learning holds significant potential for positive societal impact. However, in critical applications involving people such as healthcare, employment, and lending, machine learning raises serious concerns of fairness, robustness, and interpretability. Addressing these concerns is crucial for making machine learning more trustworthy.