2 papers
cs.LG2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
Jialei Song, Xingquan Zuo, Feiyang Wang +2
Deep neural networks (DNNs) are highly susceptible to adversarial samples, raising concerns about their reliability in safety-critical tasks. Currently, methods of evaluating adver…
cs.LG2025
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective
Chang Liu, Hai Huang, Yujie Xing +1
The robustness of Graph Neural Networks (GNNs) has become an increasingly important topic due to their expanding range of applications. Various attack methods have been proposed to…