3 citations · 3 across the 2 of their papers we have counts for
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cs.LG2023
Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning
L. L. Ankile, B. S. Ham, K. Mao +4
When assisting human users in reinforcement learning (RL), we can represent users as RL agents and study key parameters, called \emph{user traits}, to inform intervention design. W…
cs.LG2023★ 3 cited
Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks
Lars Lien Ankile, Anna Midgley, Sebastian Weisshaar
Neural Networks are infamously sensitive to small perturbations in their inputs, making them vulnerable to adversarial attacks. This project evaluates the performance of Denoising…