2 papers
cs.LG2025
Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Sanjif Shanmugavelu, Mathieu Taillefumier, Christopher Culver +3
The ability of machine learning (ML) classification models to resist small, targeted input perturbations -- known as adversarial attacks -- is a key measure of their safety and rel…
cs.DC2025
Do Large Language Models Understand Performance Optimization?
Bowen Cui, Tejas Ramesh, Oscar Hernandez +1
Large Language Models (LLMs) have emerged as powerful tools for software development tasks such as code completion, translation, and optimization. However, their ability to generat…