Scholar
Caleb Manicke
Google Scholar ID: TAu-dpYAAAAJ
Research Assistant, University of Connecticut
Citations & Impact
Citations
1
H-index
1
i10-index
0
Publications
6
Co-authors
0
Contact
Publications
Resume
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).