Rapid Time Series Prediction with a Hardware-Based Reservoir Computer. - Daniel Canaday; Aaron Griffith; Daniel J. Gauthier (CoRR, 2018)

Transient Response of Hybrid Boolean Networks as Physical Unclonable Functions. - Daniel Canaday; Noeloikeau F. Charlot; Andrew Pomerance; Daniel J. Gauthier (CoRR, 2019)

Model-Free Control of Dynamical Systems with Deep Reservoir Computing. - Daniel Canaday; Andrew Pomerance; Daniel J. Gauthier (CoRR, 2020)

Unconditional Authentication for Constrained Applications via Strong PUFs. - Ahmed S. Bendary; C. Emre Koksal; Daniel Canaday; Andrew Pomerance (CNS, 2021)

Hybrid Boolean Networks as Physically Unclonable Functions. - Noeloikeau F. Charlot; Daniel Canaday; Andrew Pomerance; Daniel J. Gauthier (IEEE Access, 2021)

A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data. - Daniel Canaday; Andrew Pomerance; Michelle Girvan (CoRR, 2021)

A Novel Attack on Machine-Learning Resistant Physical Unclonable Functions. - Daniel Canaday; Wendson A. S. Barbosa; Andrew Pomerance (HOST, 2022)

Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks. - Noeloikeau F. Charlot; Daniel J. Gauthier; Daniel Canaday; Andrew Pomerance (HOST, 2022)