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Yuanping Nie

2 accepted papers

2024

Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection

NeurIPS 2024poster

Deep learning technologies have demonstrated remarkable performance in vulnerability detection. Existing works primarily adopt a uniform and consistent feature learning pattern across the entire target set. While designed for general-purpose detection tasks, they lack sensitivity towards target code…

Cited by 0SourcePDFScholar
2022

Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients

IJCAI 2022poster

Deep neural networks have been demonstrated to be vulnerable to adversarial examples, which fool networks by adding human-imperceptible perturbations to benign examples. At present, the practical transfer-based black-box attacks are attracting significant attention. However, most existing transfer-b…