3 papers
cs.LG2026
Faults That Fortify: CNN Adversarial Robustness via GPU Undervolting
Behnam Omidi, Ahmad Tahmasivand, Husam Alsyouri +4
Convolutional Neural Networks (CNNs) face a dual challenge: vulnerability to adversarial attacks and prohibitive training cost. Adversarial training is effective but expensive, a b…
cs.SE2025
LM-Fix: Lightweight Bit-Flip Detection and Rapid Recovery Framework for Language Models
Ahmad Tahmasivand, Noureldin Zahran, Saba Al-Sayouri +2
This paper presents LM-Fix, a lightweight detection and rapid recovery framework for faults in large language models (LLMs). Existing integrity approaches are often heavy or slow f…
cs.LG2024
Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques
Yubo Li, Saba Al-Sayouri, Rema Padman
This study explores the potential of utilizing administrative claims data, combined with advanced machine learning and deep learning techniques, to predict the progression of Chron…