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Fast Butterfly-Core Community Search For Large Labeled Graphs
Community Search (CS) aims to identify densely interconnected subgraphs corresponding to query vertices within a graph.
An Effective Index for Truss-based Community Search on Large Directed Graphs
Community search is a derivative of community detection that enables online and personalized discovery of communities and has found extensive applications in massive real-world networks.
InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features
Since the intrinsic feature is composed of unique interpretation of the model's decision, the intrinsic feature can be regarded as fingerprint of the model.
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks
Recent researches demonstrate that Deep Neural Networks (DNN) models are vulnerable to backdoor attacks.
Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations
Experimental results show that, the backdoor detection rate of the proposed defense method is 99. 63%, 99. 76% and 99. 91% on Fashion-MNIST, CIFAR-10 and GTSRB datasets, respectively.
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