4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 4 cited
Deceptive Alignment Monitoring
Andres Carranza, Dhruv Pai, Rylan Schaeffer +2
As the capabilities of large machine learning models continue to grow, and as the autonomy afforded to such models continues to expand, the spectre of a new adversary looms: the mo…
cs.LG2023
FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation
Dhruv Pai, Andres Carranza, Rylan Schaeffer +2
We present FACADE, a novel probabilistic and geometric framework designed for unsupervised mechanistic anomaly detection in deep neural networks. Its primary goal is advancing the…
eess.SP2021
The impact of varying electrical stimulation parameters on neuromuscular response
Dhruv Pai, Mentor Kip Ludwig
High density neurostimulation systems are coming to market to help spinal cord injury patients by stimulating and recording neuromuscular function. However, the parameter space tha…