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Yonghui (Yohu) Xiao
Yonghui (Yohu) Xiao
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Title
Cited by
Cited by
Year
Protecting locations with differential privacy under temporal correlations
Y Xiao, L Xiong
Proceedings of the 22nd ACM SIGSAC conference on computer and communications …, 2015
4722015
Differentially private data release through multidimensional partitioning
Y Xiao, L Xiong, C Yuan
Secure Data Management: 7th VLDB Workshop, SDM 2010, Singapore, September 17 …, 2010
2302010
Quantifying differential privacy under temporal correlations
Y Cao, M Yoshikawa, Y Xiao, L Xiong
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 821-832, 2017
1292017
Quantifying differential privacy in continuous data release under temporal correlations
Y Cao, M Yoshikawa, Y Xiao, L Xiong
IEEE transactions on knowledge and data engineering 31 (7), 1281-1295, 2018
1192018
DPCube: Differentially Private Histogram Release through Multidimensional Partitioning
Y Xiao, L Xiong, L Fan, S Goryczka, H Li
Transactions of Data Privacy 7 (3), 2014
792014
Loclok: Location cloaking with differential privacy via hidden markov model
Y Xiao, L Xiong, S Zhang, Y Cao
Proceedings of the VLDB Endowment 10 (12), 1901-1904, 2017
722017
Dpcube: Releasing differentially private data cubes for health information
Y Xiao, J Gardner, L Xiong
2012 IEEE 28th International Conference on Data Engineering, 1305-1308, 2012
632012
PriSTE: from location privacy to spatiotemporal event privacy
Y Cao, Y Xiao, L Xiong, L Bai
2019 IEEE 35th International Conference on Data Engineering (ICDE), 1606-1609, 2019
532019
SHARE: system design and case studies for statistical health information release
J Gardner, L Xiong, Y Xiao, J Gao, AR Post, X Jiang, L Ohno-Machado
Journal of the American Medical Informatics Association 20 (1), 109-116, 2013
422013
Protecting spatiotemporal event privacy in continuous location-based services
Y Cao, Y Xiao, L Xiong, L Bai, M Yoshikawa
IEEE Transactions on Knowledge and Data Engineering 33 (8), 3141-3154, 2019
322019
Broadening differential privacy for deep learning against model inversion attacks
Q Zhang, J Ma, Y Xiao, J Lou, L Xiong
2020 IEEE International Conference on Big Data (Big Data), 1061-1070, 2020
192020
Enabling on-device training of speech recognition models with federated dropout
D Guliani, L Zhou, C Ryu, TJ Yang, H Zhang, Y Xiao, F Beaufays, G Motta
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
162022
PriSTE: protecting spatiotemporal event privacy in continuous location-based services
Y Cao, Y Xiao, L Xiong, L Bai, M Yoshikawa
Proceedings of the VLDB Endowment 12 (12), 2019
122019
ConTPL: controlling temporal privacy leakage in differentially private continuous data release
Y Cao, L Xiong, M Yoshikawa, Y Xiao, S Zhang
Proceedings of the VLDB endowment. International conference on very large …, 2018
122018
Federated pruning: Improving neural network efficiency with federated learning
R Lin, Y Xiao, TJ Yang, D Zhao, L Xiong, G Motta, F Beaufays
arXiv preprint arXiv:2209.06359, 2022
82022
PGLP: Customizable and rigorous location privacy through policy graph
Y Cao, Y Xiao, S Takagi, L Xiong, M Yoshikawa, Y Shen, J Liu, H Jin, ...
European Symposium on Research in Computer Security, 655-676, 2020
82020
PANDA: policy-aware location privacy for epidemic surveillance
Y Cao, S Takagi, Y Xiao, L Xiong, M Yoshikawa
arXiv preprint arXiv:2005.00186, 2020
82020
Bayesian inference under differential privacy
Y Xiao, L Xiong
arXiv preprint arXiv:1203.0617, 2012
82012
DPHMM: Customizable data release with differential privacy via hidden Markov model
Y Xiao, Y Shen, J Liu, L Xiong, H Jin, X Xu
arXiv preprint arXiv:1609.09172, 2016
72016
Dynamic differential privacy for location based applications
Y Xiao, L Xiong
IEEE T. Depend. Secure 25, 1400-1412, 2014
72014
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