Robustness Verification for Contrastive LearningDownload PDFOpen Website

2022 (modified: 24 Apr 2023)ICML 2022Readers: Everyone
Abstract: Contrastive adversarial training has successfully improved the robustness of contrastive learning (CL). However, the robustness metric used in these methods is linked to attack algorithms, image la...
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