AI RESEARCH
Feature-Space Smoothing: Certified Robustness of Deep Representations
arXiv CS.LG
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ArXi:2601.16200v3 Announce Type: replace Modern deep learning models exhibit strong capabilities across diverse applications, yet remain vulnerable to malicious inputs that induce erroneous predictions via feature-space distortion. To address this vulnerability, we propose Feature-space Smoothing (FS), a general defense framework that provides certified robustness at the feature representation level.