2 papers
cs.LG2026
CEAR: Certified Ensemble Adversarial Robustness in DNNs
Daniel Sadig, Mohammadreza Maleki, Hamed Karimi +1
Deep Neural Networks (DNNs) are highly susceptible to adversarial perturbations, leading to extensive research on robustness for safety-critical applications. State-of-the-art empi…
cs.LG2026
LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy
Hamed Karimi, Vaishali Meyappan, Reza Samavi
LLMs' overconfidence, particularly when hallucinating, poses a significant challenge for the deployment of the models in safety-critical settings and makes a reliable estimation of…