Blaine Hoak
Scholar

Blaine Hoak

Google Scholar ID: P6jPU9AAAAAJ
Ph.D. Candidate, University of Wisconsin-Madison
Adversarial Machine LearningComputer SecurityMachine Learning
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Citations & Impact
All-time
Citations
111
 
H-index
4
 
i10-index
4
 
Publications
15
 
Co-authors
0
 
Contact
Emailblaine@hoak.meCVOpen ↗TwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
4 items
On the Robustness Tradeoff in Fine-Tuning
2025
Cited
0
Alignment and Adversarial Robustness: Are More Human-Like Models More Secure?
2025
Cited
0
Err on the Side of Texture: Texture Bias on Real Data
arXiv.org · 2024
Cited
0
On Synthetic Texture Datasets: Challenges, Creation, and Curation
arXiv.org · 2024
Cited
0
Resume
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).