Yang Cao
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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
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
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
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
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
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
{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
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
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
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
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
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
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
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
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
Geo-graph-indistinguishability: Protecting location privacy for LBS over road networks
S Takagi, Y Cao, Y Asano, M Yoshikawa
Data and Applications Security and Privacy XXXIII: 33rd Annual IFIP WG 11.3 …, 2019
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
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
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
Preventing manipulation attack in local differential privacy using verifiable randomization mechanism
F Kato, Y Cao, M Yoshikawa
Data and Applications Security and Privacy XXXV: 35th Annual IFIP WG 11.3 …, 2021
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