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Yang Cao
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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
173*2018
Fedgnn: Federated graph neural network for privacy-preserving recommendation
C Wu, F Wu, Y Cao, Y Huang, X Xie
arXiv preprint arXiv:2102.04925, 2021
1442021
AuthPrivacyChain: A blockchain-based access control framework with privacy protection in cloud
C Yang, L Tan, N Shi, B Xu, Y Cao, K Yu
IEEE Access 8, 70604-70615, 2020
1122020
Differentially private real-time data publishing over infinite trajectory streams
Y Cao, M Yoshikawa
IEICE TRANSACTIONS on Information and Systems 99 (1), 163-175, 2016
80*2016
Fedsel: Federated sgd under local differential privacy with top-k dimension selection
R Liu, Y Cao, M Yoshikawa, H Chen
Database Systems for Advanced Applications: 25th International Conference …, 2020
762020
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
58*2019
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
572017
PCKV: Locally differentially private correlated key-value data collection with optimized utility
X Gu, M Li, Y Cheng, L Xiong, Y Cao
Proceedings of the 29th USENIX Conference on Security Symposium, 967-984, 2020
532020
FLAME: Differentially Private Federated Learning in the Shuffle Model
R Liu, Y Cao, H Chen, R Guo, M Yoshikawa
Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, 8688-8696, 2021
452021
Providing input-discriminative protection for local differential privacy
X Gu, M Li, L Xiong, Y Cao
2020 IEEE 36th International Conference on Data Engineering (ICDE), 505-516, 2020
422020
Voice-indistinguishability: Protecting voiceprint in privacy-preserving speech data release
Y Han, S Li, Y Cao, Q Ma, M Yoshikawa
2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020
40*2020
How to balance privacy and money through pricing mechanism in personal data market
R Nget, Y Cao, M Yoshikawa
arXiv preprint arXiv:1705.02982, 2017
392017
Geo-graph-indistinguishability: Location privacy on road networks based on differential privacy
S Takagi, Y Cao, Y Asano, M Yoshikawa
arXiv preprint arXiv:2010.13449, 2020
32*2020
Supporting both range queries and frequency estimation with local differential privacy
X Gu, M Li, Y Cao, L Xiong
2019 IEEE Conference on Communications and Network Security (CNS), 124-132, 2019
322019
P3GM: Private high-dimensional data release via privacy preserving phased generative model
S Takagi, T Takahashi, Y Cao, M Yoshikawa
2021 IEEE 37th International Conference on Data Engineering (ICDE), 169-180, 2021
242021
Transparent contribution evaluation for secure federated learning on blockchain
S Ma, Y Cao, L Xiong
2021 IEEE 37th International Conference on Data Engineering Workshops (ICDEW …, 2021
202021
PCT-TEE: trajectory-based Private contact tracing system with trusted execution environment
F Kato, Y Cao, M Yoshikawa
ACM Transactions on Spatial Algorithms and Systems (TSAS) 8 (2), 1-35, 2021
18*2021
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, ...
Computer Security–ESORICS 2020: 25th European Symposium on Research in …, 2020
16*2020
Benchmarking blockchain-based gene-drug interaction data sharing methods: a case study from the iDASH 2019 secure genome analysis competition blockchain track
TT Kuo, T Bath, S Ma, N Pattengale, M Yang, Y Cao, CM Hudson, J Kim, ...
International journal of medical informatics 154, 104559, 2021
152021
“When and Where Do You Want to Hide?”–Recommendation of Location Privacy Preferences with Local Differential Privacy
M Asada, M Yoshikawa, Y Cao
Data and Applications Security and Privacy XXXIII: 33rd Annual IFIP WG 11.3 …, 2019
122019
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Artikelen 1–20