Scholar
Blaine Hoak
Google Scholar ID: P6jPU9AAAAAJ
Ph.D. Candidate, University of Wisconsin-Madison
Citations & Impact
Citations
111
H-index
4
i10-index
4
Publications
15
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications: 'Alignment and Adversarial Robustness: Are More Human-Like Models More Secure?' accepted to SPAIML 2025; 'On Synthetic Texture Datasets' accepted to ECAI 2025. Awards: MIT EECS Rising Star Award.
Research Experience
- Research Assistant in the Security & Privacy Research Group.
Education
- Ph.D. Candidate, Computer Sciences, University of Wisconsin-Madison, Advisor: Prof. Patrick McDaniel.
Background
- Research Interests: Evaluating and advancing the trustworthiness of AI/ML systems, specifically focusing on functional differences between machine learning models and biological systems (e.g., the human visual system) and their impact on model robustness and resilience. Broadly interested in computer security and AI/ML.
Miscellany
- Personal Interests: Reading (especially fantasy), cooking (and going to restaurants), golfing (when Wisconsin weather permits), and social dancing (particularly swing).
Co-authors