Caleb Manicke
Scholar

Caleb Manicke

Google Scholar ID: TAu-dpYAAAAJ
Research Assistant, University of Connecticut
Adversarial Machine LearningBiometricsOptimization
Citations & Impact
All-time
Citations
1
 
H-index
1
 
i10-index
0
 
Publications
6
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Has at least 5 public repositories, with two notable ones:
  • - Busting-the-Ballot: Research related to voting security involving adversarial machine learning
  • - TARL: A highly efficient black-box adversarial attack technique that incorporates reinforcement learning
Research Experience
  • Involved in several projects including research on ballot tampering using commodity printers (Busting the Ballot with Commodity Printers: Voting Meets Adversarial Machine Learning) and a highly efficient black-box adversarial attack method (TARL: A Highly Efficient Black-Box Adversarial Attack with Reinforcement Learning).
Co-authors
0 total
Co-authors: 0 (list not available)