2 papers
cs.LG2026
Risk Under Pressure: Compute-Aware Evaluation of Adversarial Robustness in Language Models
Malikeh Ehghaghi, Boglárka Ecsedi, Marsha Chechik +1
Adversarial robustness evaluations of large language models (LLMs) typically report attack success rate (ASR) under fixed query budgets, implicitly treating all attacks as equally…
cs.NE2026
Genetic algorithm vs. gradient descent for training a neural network architecture dedicated to low data regimes in small medical datasets
Amine Boukhari, Boglarka Ecsedi, Laszlo Papp +1
Aim/Introduction: Distance-encoding biomorphic-informational neural network (DEBI-NN) is a recently proposed architecture in which connection weights are defined by the distances b…