| 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 | 293 | 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 | 221* | 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 | 176 | 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 | 132 | 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 | 94 | 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 | 82 | 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 | 78 | 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 | 75 | 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 | 71 | 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 | 56 | 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 | 53 | 2020 |
| 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 | 46 | 2021 |
| 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 | 46 | 2019 |
| 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 | 43 | 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 | 42 | 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 | 40 | 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 | 34 | 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 | 29 | 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 | 27* | 2021 |
| FL-market: Trading private models in federated learning S Zheng, Y Cao, M Yoshikawa, H Li, Q Yan 2022 IEEE International Conference on Big Data (Big Data), 1525-1534, 2022 | 24* | 2022 |
Masatoshi YoshikawaOsaka Seikei UniversityVerified email at osaka-seikei.ac.jp
