معرفی
Bailey Kacsmar is an Assistant Professor in the Department of Computing Science at the University of Alberta and an Alberta Machine Intelligence Institute (Amii) Fellow. Her research focuses on developing human-centered privacy solutions, combining technical privacy mechanisms (e.g., private machine learning, secure computation) with user perception studies and usability evaluations. She holds a PhD and MMath in Computer Science from the University of Waterloo.
- Education:
- PhD in Computer Science, University of Waterloo
- Masters of Mathematics (MMath), University of Waterloo
Research Interests:
- Privacy-preserving machine learning and AI
- User-centric privacy design
- Cryptography for private computation
- Usability of privacy-enhancing technologies
Recent Work Trends: Her publications emphasize practical privacy solutions, including private set intersection protocols, differential privacy in machine learning, and user comprehension of privacy mechanisms.
- Awards:
- 2025 U of A Award for Outstanding Mentorship in Undergraduate Research
- Honorable Mention for CRA Outstanding Undergraduate Researcher Award (Jialiang Yan)
Teaching & Advising: Courses include Cryptography for Digital Privacy and Privacy, Cryptography, Network Security. Advises graduate students and undergraduate researchers on privacy-preserving technologies. Emphasizes ethical and human-centered approaches in advising.
Labs & Teams: Leads the PUPS (Practical Usable Privacy and Security) Lab, focusing on interdisciplinary privacy research spanning technical design, usability, and societal impact.
