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Jiping Zhang

2 accepted papers

2024

Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections

NeurIPS 2024poster

Despite the remarkable capabilities demonstrated by Graph Neural Networks (GNNs) in graph-related tasks, recent research has revealed the fairness vulnerabilities in GNNs when facing malicious adversarial attacks. However, all existing fairness attacks require manipulating the connectivity between e…

2022

Weight Perturbation as Defense against Adversarial Word Substitutions

EMNLP 2022finding

The existence and pervasiveness of textual adversarial examples have raised serious concerns to security-critical applications. Many methods have been developed to defend against adversarial attacks for neural natural language processing (NLP) models.Adversarial training is one of the most successfu…