Supplementary Results for Table 2 (b) and Fig 3. door Chen Lin (95910)

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Attack success rates (%) of adversarial attacks against six models. ^* indicates the white-box attacks. door Chen Lin (95910)

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Logarithm of loss and attack success rates (%) of Diff-AdaNAG, Diff-PGD, and PGD on various numbers of iterations. door Chen Lin (95910)

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Attack success rates (%) of adversarial attacks against twelve models. ^* indicates the white-box attacks. door Chen Lin (95910)

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Comparison of SI-NI-FGSM and SI+Ours. door Chen Lin (95910)

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Supplementary results for Table 3 (b). door Chen Lin (95910)

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Visualization of adversarial samples. door Chen Lin (95910)

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Attack success rates (%) of adversarial attacks against twelve models. ^* indicates the white-box attacks. door Chen Lin (95910)

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Attack success rates (%) of adversarial attacks against twelve models. ^* indicates the white-box attacks. door Chen Lin (95910)

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Supplementary 4esults for Table 3 (a). door Chen Lin (95910)

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Attack success rates (%) of adversarial attacks against twelve models. ^* indicates the white-box attacks. door Chen Lin (95910)

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Supplementary Results for Table 2 (a). door Chen Lin (95910)

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Supplementary results for Table 3 (c). door Chen Lin (95910)

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Our proposed Diff-AdaNAG framework. door Chen Lin (95910)

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Supplementary results for Table 4. door Chen Lin (95910)

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Supplementary Results for Table 2 (c). door Chen Lin (95910)

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Functional enrichment analysis of the 28 DNB genes identified for ESCC. door Fatemeh Keikha (20917848)

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Quantitative performance comparison of our method and five multilayer network ranking baselines on the GAC dataset across multiple evaluation metrics. door Fatemeh Keikha (20917848)

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Simulation networks and gene expression analysis across disease states. door Fatemeh Keikha (20917848)

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UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms. door Fatemeh Keikha (20917848)

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