111 citations · 154 across the 10 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CR2023★ 2 cited
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification
Bang Wu, Xingliang Yuan, Shuo Wang +3
The deployment of Graph Neural Networks (GNNs) within Machine Learning as a Service (MLaaS) has opened up new attack surfaces and an escalation in security concerns regarding model…
cs.LG2023★ 3 cited
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks
Bang Wu, He Zhang, Xiangwen Yang +4
The emergence of Graph Neural Networks (GNNs) in graph data analysis and their deployment on Machine Learning as a Service platforms have raised critical concerns about data misuse…
cs.SE2023★ 6 cited
Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information
Heng Li, Zhang Cheng, Bang Wu +4
The function call graph (FCG) based Android malware detection methods have recently attracted increasing attention due to their promising performance. However, these methods are su…