46 citations · 127 across the 9 of their papers we have counts for
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cs.LG2023★ 1 cited
VertexSerum: Poisoning Graph Neural Networks for Link Inference
Ruyi Ding, Shijin Duan, Xiaolin Xu +1
Graph neural networks (GNNs) have brought superb performance to various applications utilizing graph structural data, such as social analysis and fraud detection. The graph links,…
cs.LG2021★ 1 cited
Sensitive Samples Revisited: Detecting Neural Network Attacks Using Constraint Solvers
Amel Nestor Docena, Thomas Wahl, Trevor Pearce +1
Neural Networks are used today in numerous security- and safety-relevant domains and are, as such, a popular target of attacks that subvert their classification capabilities, by ma…
cs.LG2019★ 46 cited
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks
Pu Zhao, Siyue Wang, Cheng Gongye +3
Despite the great achievements of deep neural networks (DNNs), the vulnerability of state-of-the-art DNNs raises security concerns of DNNs in many application domains requiring hig…