A new link-noise metric, computed from node degrees and entropy-based dissimilarity, ranks candidate adversarial edges and prunes the search space for targeted graph attacks, yielding competitive or better attack success than existing methods.
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Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
A new link-noise metric, computed from node degrees and entropy-based dissimilarity, ranks candidate adversarial edges and prunes the search space for targeted graph attacks, yielding competitive or better attack success than existing methods.