CEAR: Certified Ensemble Adversarial Robustness in DNNs
Date:
Presented CEAR: Certified Ensemble Adversarial Robustness in DNNs at the Canadian Conference on Artificial Intelligence, held at Simon Fraser University in May 2026. The paper develops an ensemble approach that combines diverse noise-trained networks, voting rules, and randomized smoothing to improve certified adversarial robustness.
Read or download the paper (PDF) · Proceedings page
