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Thursday, March 21, 2024 3:00 pm - 4:00 pm EDT (GMT -04:00)

DSG Seminar Series • The Rise of ‘ScaleFlex’ — Modern Hardware Requires Modern Solutions

Please note: This seminar will take place online.

Wolfgang Lehner, Director, Institute of Systems Architecture
Head, Database Research Group, TU Dresden

Alexander Krause, Postdoctoral Researcher
Database Research Group, TU Dresden

Friday, March 22, 2024 1:30 pm - 2:30 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Software Engineering • Mitigating the Uncertainty and Imprecision of Log-Based Code Coverage Without Requiring Additional Logging Statements

Please note: This master’s thesis presentation will take place in DC 2310 and online.

Xiaoyan Xu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Shane McIntosh

Tuesday, March 26, 2024 3:00 pm - 4:00 pm EDT (GMT -04:00)

CANCELLED • Seminar • Algorithms and Complexity • On Personalized Differential Privacy

Please note: This seminar has been CANCELLED.

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:

Wednesday, March 27, 2024 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Artificial Intelligence • Mathematical Foundations for Trustworthy Machine Learning

Please note: This seminar will take place in DC 1304.

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.