1 citations · 1 across the 15 of their papers we have counts for
3 papers · 1 filter
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filtering
Francois Chaubard, Duncan Eddy, Mykel J. Kochenderfer
We introduce Gradient Agreement Filtering (GAF) to improve on gradient averaging in distributed deep learning optimization. Traditional distributed data-parallel stochastic gradien…
Optimal Ground Station Selection for Low-Earth Orbiting Satellites
Duncan Eddy, Michelle Ho, Mykel J. Kochenderfer
This paper presents a solution to the problem of optimal ground station selection for low-Earth orbiting (LEO) space missions that enables mission operators to precisely design the…
ASTPrompter: Preference-Aligned Automated Language Model Red-Teaming to Generate Low-Perplexity Unsafe Prompts
Amelia F. Hardy, Houjun Liu, Allie Griffith +3
Existing LLM red-teaming approaches prioritize high attack success rate, often resulting in high-perplexity prompts. This focus overlooks low-perplexity attacks that are more diffi…