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Yang Cao
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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
962017
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
682020
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
662018
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
602021
Differentially private real-time data release over infinite trajectory streams
Y Cao, M Yoshikawa
2015 16th IEEE International Conference on Mobile Data Management 2, 68-73, 2015
602015
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
512017
Fedsel: Federated sgd under local differential privacy with top-k dimension selection
R Liu, Y Cao, M Yoshikawa, H Chen
International Conference on Database Systems for Advanced Applications, 485-501, 2020
362020
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
302019
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
292017
{PCKV}: Locally Differentially Private Correlated {Key-Value} Data Collection with Optimized Utility
X Gu, M Li, Y Cheng, L Xiong, Y Cao
29th USENIX security symposium (USENIX security 20), 967-984, 2020
282020
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
242020
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
232021
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
232019
Geo-graph-indistinguishability: Protecting location privacy for LBS over road networks
S Takagi, Y Cao, Y Asano, M Yoshikawa
IFIP Annual Conference on Data and Applications Security and Privacy, 143-163, 2019
202019
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
192020
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
182016
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
182016
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
122021
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
122019
“When and Where Do You Want to Hide?”–Recommendation of Location Privacy Preferences with Local Differential Privacy
M Asada, M Yoshikawa, Y Cao
IFIP Annual Conference on Data and Applications Security and Privacy, 164-176, 2019
122019
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Artikelen 1–20