2 papers
cs.LG2026
Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks
Minsoo Jo, Dongyoon Yang, Taesup Kim
Adversarial examples in neural networks have been extensively studied in Euclidean geometry, but recent advances in \textit{hyperbolic networks} call for a reevaluation of attack s…
cs.LG2026
Robust Domain Generalization under Divergent Marginal and Conditional Distributions
Jewon Yeom, Kyubyung Chae, Hyunggyu Lim +3
Domain generalization (DG) aims to learn predictive models that can generalize to unseen domains. Most existing DG approaches focus on learning domain-invariant representations und…