On the Adversarial Robustness of Graph Contrastive Learning Methods

no code implementations • 29 Nov 2023 • Filippo Guerranti, Zinuo Yi, Anna Starovoit, Rafiq Kamel, Simon Geisler, Stephan Günnemann

Contrastive learning (CL) has emerged as a powerful framework for learning representations of images and text in a self-supervised manner while enhancing model robustness against adversarial attacks.

Adversarial Robustness Contrastive Learning +2