Please note: This seminar will take place in DC 1304.
Xupeng Miao, Postdoctoral Researcher
Computer Science Department, Carnegie Mellon University
In this talk, I will introduce my work on machine learning (ML) parallelization, a critical endeavor to bridge the significant gap between diverse ML programs and multitiered computing architectures. Specifically, I will explore ML parallelization at three distinct yet interconnected levels.
Please note: This CrySP Speaker Series on Privacy talk will take place in MC 5501 and online.
Kathrin Hövelmanns, Tenured Assistant Professor
Applied and Provable Security group, TU Eindhoven
Please note: This seminar will take place in DC 3317 and online.
Yash Pote, PhD candidate
School of Computing, National University of Singapore
Please note: This seminar will take place in DC 1304.
Misha Khodak, PhD candidate
Computer Science Department, Carnegie Mellon University
Advances in machine learning (ML) have led to skyrocketing demand across diverse applications beyond vision and text, resulting in unique theoretical and practical challenges. The vastness of use cases calls for general-purpose yet customizable tools for tackling large subclasses of such problems.
Please note: This seminar will take place in DC 1304.
Sarah Cen, PhD candidate
Electrical Engineering and Computer Science Department, MIT
We have begun grappling with difficult questions related to the rise of AI, including: What rights do individuals have in the age of AI? When should we regulate AI and when should we abstain? What degree of transparency is needed to monitor AI systems? These questions are all concerned with AI accountability: determining who owes responsibility and to whom in the age of AI.
Please note: This seminar will take place online.
Philip A. Bernstein
Distinguished Scientist, Microsoft Research
Affiliate Professor, University of Washington
Please note: This PhD seminar will take place in DC 3317 and online.
Yiwei Lu, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Yaoliang Yu, Sun Sun
Please note: This PhD seminar will take place in DC 1304 and online.
Shubhankar Mohapatra, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Xi He
Despite several works that succeed in generating synthetic data with differential privacy (DP) guarantees, they are inadequate for generating high-quality synthetic data when the input data has missing values.
Please note: This seminar will take place in DC 3317 and online.
Mahsa Derakhshan, Assistant Professor
Khoury College of Computer Sciences, Northeastern University
In this talk, we discuss the stochastic vertex cover problem. In this problem, G is an arbitrary known graph, and G* is an unknown random subgraph of G containing each of its edges independently with a known probability p. Edges of G* can only be verified using edge queries. The goal in this problem is to find a minimum vertex cover of G* using a small number of queries.
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.
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:
Please note: This PhD seminar will take place in DC 3317.
Ahmed Alquraan, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Samer Al-Kiswany
Please note: This PhD seminar will take place in DC 2310.
Murray Dunne, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Sebastian Fischmeister
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
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
Please note: This seminar will take place online.
Gustavo Alonso, Professor
Department of Computer Science, ETH Zürich
Please note: This PhD seminar will take place in DC 2310.
Blake VanBerlo, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Jesse Hoey, Alexander Wong
Please note: This seminar will take place in DC 1304.
Teodora Baluta, PhD candidate
Computer Science, National University of Singapore
Please note: This PhD seminar will take place in DC 2585.
Yudong Luo, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Pascal Poupart
Please note: This master’s thesis presentation will take place in DC 2314 and online.
Alice Murphy, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Mohammad Hajiabadi
Please note: This seminar will take place in DC 1304.
Han Shao, PhD candidate
Toyota Technological Institute at Chicago
Please note: This seminar will take place online.
Anwar Hithnawi, Research Fellow and Principal Investigator
Department of Computer Science, ETH Zurich
Please note: This CrySP Speaker Series on Privacy talk will take place in DC 1302 and online.
Yibin Yang, PhD candidate
School of Computer Science, Georgia Institute of Technology
Please note: This PhD defence will take place online.
Aarti Malhotra, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jesse Hoey
Please note: This seminar will take place in DC 1304.
John Kallaugher, Researcher
Sandia National Laboratories
