2026
Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning
ICLR 2026poster
Reliability of deep learning models is critical for deployment in high-stakes applications, where out-of-distribution or adversarial inputs may lead to detrimental outcomes. Evidential Deep Learning, an efficient paradigm for uncertainty quantification, models predictions as Dirichlet distributions…