Xintao Wu
Cited by
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Managing and mining graph data
Editors-Aggarwal, Wang, Contributors-Chakrabarti, Faloutsos, McGlohon, ...
Springer, 2010
Randomizing social networks: a spectrum preserving approach
X Ying, X Wu
proceedings of the 2008 SIAM International Conference on Data Mining, 739-750, 2008
Differential privacy preservation for deep auto-encoders: an application of human behavior prediction
NH Phan, Y Wang, X Wu, D Dou
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Fairgan: Fairness-aware generative adversarial networks
D Xu, S Yuan, L Zhang, X Wu
2018 IEEE International Conference on Big Data (Big Data), 570-575, 2018
A Survey of Privacy-Preservation of Graphs and Social Networks
X Wu, X Ying, K Liu, L Chen
Managing and Mining Graph Data, 421-453, 2010
Adaptive laplace mechanism: Differential privacy preservation in deep learning
NH Phan, X Wu, H Hu, D Dou
2017 IEEE international conference on data mining (ICDM), 385-394, 2017
A causal framework for discovering and removing direct and indirect discrimination
L Zhang, Y Wu, X Wu
arXiv preprint arXiv:1611.07509, 2016
On link privacy in randomizing social networks
X Ying, X Wu
Knowledge and information systems 28, 645-663, 2011
Using Randomized Response for Differential Privacy Preserving Data Collection
Y Wang, X Wu, D Hu
Proceedings of the 9th International Workshop on Privacy and Anonymity in …, 2016
One-class adversarial nets for fraud detection
P Zheng, S Yuan, X Wu, J Li, A Lu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1286-1293, 2019
Preserving differential privacy in degree-correlation based graph generation
Y Wang, X Wu
Transactions on data privacy 6 (2), 127, 2013
SNE: signed network embedding
S Yuan, X Wu, Y Xiang
Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017
Differential privacy preserving spectral graph analysis
Y Wang, X Wu, L Wu
Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013
Deep learning for insider threat detection: Review, challenges and opportunities
S Yuan, X Wu
Computers & Security 104, 102221, 2021
Comparisons of randomization and k-degree anonymization schemes for privacy preserving social network publishing
X Ying, K Pan, X Wu, L Guo
Proceedings of the 3rd workshop on social network mining and analysis, 1-10, 2009
Graph generation with prescribed feature constraints
X Ying, X Wu
Proceedings of the 2009 SIAM International Conference on Data Mining, 966-977, 2009
Pc-fairness: A unified framework for measuring causality-based fairness
Y Wu, L Zhang, X Wu, H Tong
Advances in neural information processing systems 32, 2019
Preserving differential privacy in convolutional deep belief networks
NH Phan, X Wu, D Dou
Machine learning 106 (9-10), 1681-1704, 2017
Protecting business intelligence and customer privacy while outsourcing data mining tasks
L Qiu, Y Li, X Wu
Knowledge and Information Systems 17 (1), 99-120, 2008
Logbert: Log anomaly detection via bert
H Guo, S Yuan, X Wu
2021 international joint conference on neural networks (IJCNN), 1-8, 2021
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