Rabeya Bosri Publications Teaching Journey Journal Notes

Rabeya Bosri

I'm a thesis-based MSc student at the University of Alberta in Edmonton, Alberta, Canada, working under the supervision of Bailey Kacsmar.

My research interests lie in the intersection of Usable Privacy and Privacy-Preserving Machine Learning

Upcoming

Upper Bound 2025 , May 20–23, Edmonton, Alberta, Canada. Upper Bound is an annual AI conference for students, academics, business professionals, and enthusiasts leading the way in shaping a positive AI future.

Current Research

I am currently working on a Membership Inference Attack in Privacy-Preserving Federated Learning, User aspect on Designing Machine Learning, and Cross-Culture Privacy Perception.

	Perception of Machine Learning Designs Primary Investigator: Rabeya Bosri Supervisor: Bailey Kacsmar University of Alberta Other researchers: Vasisht Duddu, University of Waterloo. Anna Lorimer, University of Chicago This study investigates how stakeholders perceive and prioritize trade-offs among privacy and fairness risks in machine learning (ML) models for high-stakes decision-making applications. Understanding these preferences is crucial for designing ML systems that effectively balance competing risks while maintaining stakeholder trust and ethical standards.
	Membership Inference Attack in Federated Learning Primary Investigator: Rabeya Bosri Supervisor: Bailey Kacsmar University of Alberta Other researchers: Akemi Izuko University of Alberta. This study investigates the privacy gurantees in differentially private federated learning. Specially, we are focusing membership inference attack in non-iid data settings.
	Cross-Culture Privacy Perception on Social Media Sharing Primary Investigator: Rabeya Bosri and Jialiang (Chuck) Yan Supervisor: Bailey Kacsmar University of Alberta This study explores privacy perceptions and behaviors across cultures in shared technological environments like social media, focusing on identifying differences and potential similarities.