Attacking and Protecting Tunneled Traffic of Smart Home Devices. - Ahmed Alshehri; Jacob Granley; Chuan Yue (CODASPY, 2020)

A Computational Model of Phosphene Appearance for Epiretinal Prostheses. - Jacob Granley; Michael Beyeler (EMBC, 2021)

U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina. - Shuyun Tang; Ziming Qi; Jacob Granley; Michael Beyeler (OMIA@MICCAI, 2021)

Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses. - Jacob Granley; Lucas Relic; Michael Beyeler (NeurIPS, 2022)

A Hybrid Neural Autoencoder for Sensory Neuroprostheses and Its Applications in Bionic Vision. - Jacob Granley; Lucas Relic; Michael Beyeler (CoRR, 2022)

Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses. - Jacob Granley; Alexander Riedel; Michael Beyeler (CoRR, 2022)

Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses. - Jacob Granley; Tristan Fauvel; Matthew Chalk; Michael Beyeler (NeurIPS, 2023)

Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture. - Galen Pogoncheff; Jacob Granley; Michael Beyeler (NeurIPS, 2023)

Evaluating Deep Human-in-the-Loop Optimization for Retinal Implants Using Sighted Participants. - Eirini Schoinas; Adyah Rastogi; Anissa Carter; Jacob Granley; Michael Beyeler (CoRR, 2025)