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ORCIDYang Cao 0011
Person information
- affiliation (since 2024): Tokyo Institute of Technology, Japan
- affiliation (2022 - 2024): Hokkaido University, Japan
- affiliation (2018 - 2022): Kyoto University, Department of Social Informatics, Japan
- affiliation (2017 - 2018): Emory University, Department of Mathematics and Computer Science, Atlanta, GA, USA
- affiliation (PhD 2017): Kyoto University, Japan
Other persons with the same name
- Yang Cao — disambiguation page
- Yang Cao 0001
![[0000-0001-9336-3748]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9336-3748")
(aka: Young Cao) — Virginia Tech, Department of Computer Science, Blacksburg, VA, USA - Yang Cao 0002 — Huazhong University of Science and Technology, School of Electronics Information and Communications, Wuhan, China (and 1 more)
- Yang Cao 0003 — University of Hong Kong, Department of Mechanical Engineering, Hong Kong
- Yang Cao 0004 — Harbin Institute of Technology, School of Transportation Science and Engineering, China
- Yang Cao 0005 — Hohai University, College of Energy and Electrical Engineering, Nanjing, China (and 1 more)
- Yang Cao 0006 — Waseda University, Graduate School of Creative Science and Engineering, Tokyo, Japan
- Yang Cao 0007 — China Southern Power Grid, Electric Power Research Institute, Guangzhou, China (and 2 more)
- Yang Cao 0008 — Shanghai Jiao Tong University, MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, China
- Yang Cao 0009 — Örebro University, School of Medical Sciences, Sweden (and 4 more)
- Yang Cao 0010 — University of Science and Technology of China, Department of Automation, Hefei, China (and 1 more)
- Yang Cao 0012 — University of Edinburgh, UK (and 1 more)
- Yang Cao 0013 — Georgia Institute of Technology, School of Industrial and Systems Engineering, Atlanta, GA, USA
- Yang Cao 0014 — Nantong University, School of Transportation, China
- Yang Cao 0015 — Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power Systems, Beijing, China
- Yang Cao 0016 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
- Yang Cao 0017 — Hong Kong University of Science and Technology
- Yang Cao 0018 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China (and 1 more)
- Yang Cao 0019 — Deakin University, Geelong, Australia
- Yang Cao 0020 — Wyoming Seminary, Kingston, PA, USA
- Yang Cao 0021 — East China Normal University, Shanghai, China
- Yang Cao 0022 — Beijing Wuzi University, School of Information, China (and 2 more)
Other persons with a similar name
- Bing-Yang Cao
- Mingyang Cao (aka: Ming-Yang Cao)
- Yang-Chen Cao
- Yang (Trista) Cao
- Yang Bryan Cao
- Yang Trista Cao
- Yang Zhong Cao
- Yangjie Cao (aka: Yang-Jie Cao)
- Cao Yang Lei
- Cao Yang
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2020 – today
- 2025
[j26]Chih-Hsun Lin, Chia-Yi Hsu, Chia-Mu Yu, Yang Cao, Chun-Ying Huang:
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase. IEEE Internet Things J. 12(6): 7549-7563 (2025)- [e1]Tong Chen, Yang Cao, Quoc Viet Hung Nguyen, Thanh Tam Nguyen:
Databases Theory and Applications - 35th Australasian Database Conference, ADC 2024, Gold Coast, QLD, Australia, December 16-18, 2024, Proceedings. Lecture Notes in Computer Science 15449, Springer 2025, ISBN 978-981-96-1241-3 [contents] - [i54]Shuyuan Zheng, Sudong Cai, Chuan Xiao, Yang Cao, Jianbin Qin, Masatoshi Yoshikawa, Makoto Onizuka:
Data Overvaluation Attack and Truthful Data Valuation. CoRR abs/2502.00494 (2025) - 2024
- [j25]Sheng Li, Jiyi Li, Yang Cao:
Phantom in the opera: adversarial music attack for robot dialogue system. Frontiers Comput. Sci. 6 (2024) - [j24]Yuan Shen, Wei Song, Yang Cao, Zechen Liu, Zhe Wei, Zhiyong Peng:
Differentially private trajectory event streams publishing under data dependence constraints. Inf. Sci. 657: 119959 (2024) - [j23]Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa:
Uldp-FL: Federated Learning with Across Silo User-Level Differential Privacy. Proc. VLDB Endow. 17(11): 2826-2839 (2024) - [j22]Shun Takagi, Li Xiong, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization. Proc. VLDB Endow. 17(11): 3058-3071 (2024) - [j21]Meihui Zhang, Cyrus Shahabi, Ju Fan, Yang Cao, Xiaoou Ding, Divesh Srivastava, Nesime Tatbul, Sihem Amer-Yahia, Yongxin Tong, Yuncheng Wu, Li Xiong, Torsten Grust, Themis Palpanas, Philippe Bonnet, Haixun Wang, Wook-Shin Han, Ibrahim Sabek, M. Tamer Özsu, Xiaofang Zhou:
Front Matter. Proc. VLDB Endow. 17(12) (2024) - [j20]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Seok Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Cyrus Shahabi, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Mobility Data Science: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. 10(2): 10 (2024) - [c54]Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong:
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. CCS 2024: 3511-3524 - [c53]Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong:
TabularMark: Watermarking Tabular Datasets for Machine Learning. CCS 2024: 3570-3584 - [c52]Sheng Li, Jiyi Li, Yang Cao:
Automatic Post-editing of Speech Recognition System Output Using Large Language Models. DASFAA (Workshops) 2024: 178-186 - [c51]Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa:
Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks. DASFAA (1) 2024: 457-473 - [c50]Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa:
CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers. ICDE 2024: 1671-1684 - [c49]Saber Malekmohammadi, Yaoliang Yu, Yang Cao:
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning. ICML 2024 - [c48]Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao:
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation. IJCAI 2024: 1407-1415 - [c47]Chao Tan, Sheng Li, Yang Cao, Zhao Ren, Tanja Schultz:
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition. MMAsia 2024: 27:1-27:7 - [c46]Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi:
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation. WWW 2024: 3919-3929 - [i53]Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong:
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. CoRR abs/2403.09562 (2024) - [i52]Shun Takagi, Li Xiong, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization. CoRR abs/2405.08043 (2024) - [i51]Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa:
Federated Graph Analytics with Differential Privacy. CoRR abs/2405.20576 (2024) - [i50]Saber Malekmohammadi, Yaoliang Yu, Yang Cao:
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning. CoRR abs/2406.03519 (2024) - [i49]Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong:
TabularMark: Watermarking Tabular Datasets for Machine Learning. CoRR abs/2406.14841 (2024) - [i48]Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa:
Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks. CoRR abs/2407.08529 (2024) - [i47]Shang Liu, Hao Du, Yang Cao, Bo Yan, Jinfei Liu, Masatoshi Yoshikawa:
PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms. CoRR abs/2408.02928 (2024) - [i46]Chao Tan, Sheng Li, Yang Cao, Zhao Ren, Tanja Schultz:
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition. CoRR abs/2410.13221 (2024) - [i45]Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa:
Extracting Spatiotemporal Data from Gradients with Large Language Models. CoRR abs/2410.16121 (2024) - [i44]Jiayao Zhang, Yuran Bi, Mengye Cheng, Jinfei Liu, Kui Ren, Qiheng Sun, Yihang Wu, Yang Cao, Raul Castro Fernandez, Haifeng Xu, Ruoxi Jia, Yongchan Kwon, Jian Pei, Jiachen T. Wang, Haocheng Xia, Li Xiong, Xiaohui Yu, James Zou:
A Survey on Data Markets. CoRR abs/2411.07267 (2024) - [i43]Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc Viet Hung Nguyen, Yang Cao, Hongzhi Yin:
Tackling Data Heterogeneity in Federated Time Series Forecasting. CoRR abs/2411.15716 (2024) - [i42]Hao Du, Shang Liu, Lele Zheng, Yang Cao, Atsuyoshi Nakamura, Lei Chen:
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions. CoRR abs/2412.16504 (2024) - 2023
- [j19]Shun Takagi, Yang Cao, Yasuhito Asano, Masatoshi Yoshikawa:
Geo-Graph-Indistinguishability: Location Privacy on Road Networks with Differential Privacy. IEICE Trans. Inf. Syst. 106(5): 877-894 (2023) - [j18]Ryota Hiraishi, Masatoshi Yoshikawa, Yang Cao, Sumio Fujita, Hidehito Gomi:
Mechanisms to Address Different Privacy Requirements for Users and Locations. IEICE Trans. Inf. Syst. 106(12): 2036-2047 (2023) - [j17]Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa:
Secure Shapley Value for Cross-Silo Federated Learning. Proc. VLDB Endow. 16(7): 1657-1670 (2023) - [j16]Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification. Proc. VLDB Endow. 16(10): 2404-2417 (2023) - [j15]Haocheng Xia, Jinfei Liu, Jian Lou, Zhan Qin, Kui Ren, Yang Cao, Li Xiong:
Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets. Proc. VLDB Endow. 16(11): 3349-3362 (2023) - [c45]Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
From Bounded to Unbounded: Privacy Amplification via Shuffling with Dummies. CSF 2023: 457-472 - [c44]Xuyang Cao, Yang Cao, Primal Pappachan, Atsuyoshi Nakamura, Masatoshi Yoshikawa:
Differentially Private Streaming Data Release Under Temporal Correlations via Post-processing. DBSec 2023: 184-200 - [c43]Chao Tan, Yang Cao, Sheng Li, Masatoshi Yoshikawa:
General or Specific? Investigating Effective Privacy Protection in Federated Learning for Speech Emotion Recognition. ICASSP 2023: 1-5 - [c42]Xiaoyu Li, Yang Cao, Masatoshi Yoshikawa:
Locally Private Streaming Data Release with Shuffling and Subsampling. ICDEW 2023: 125-131 - [c41]Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen:
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. KDD 2023: 4539-4548 - [c40]Minxing Zhang, Haowen Lin, Shun Takagi, Yang Cao, Cyrus Shahabi, Li Xiong:
CSGAN: Modality-Aware Trajectory Generation via Clustering-based Sequence GAN. MDM 2023: 148-157 - [c39]Xiaojiao Chen, Sheng Li, Jiyi Li, Hao Huang, Yang Cao, Liang He:
Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization. MMAsia 2023: 93:1-93:5 - [c38]Xiaojiao Chen, Sheng Li, Jiyi Li, Yang Cao, Hao Huang, Liang He:
GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System. MMAsia 2023: 94:1-94:5 - [c37]Dmitry Prokhorenkov, Yang Cao:
Towards Benchmarking Privacy Risk for Differential Privacy: A Survey. BuildSys 2023: 322-327 - [c36]Ruixuan Liu, Sepanta Zeighami, Haowen Lin, Cyrus Shahabi, Yang Cao, Shun Takagi, Yoko Konishi, Masatoshi Yoshikawa, Li Xiong:
Supporting Pandemic Preparedness with Privacy Enhancing Technology. TPS-ISA 2023: 34-43 - [i41]Chih-Hsun Lin, Chia-Yi Hsu, Chia-Mu Yu, Yang Cao, Chun-Ying Huang:
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase. CoRR abs/2304.12185 (2023) - [i40]Xuyang Cao, Yang Cao, Primal Pappachan, Atsuyoshi Nakamura, Masatoshi Yoshikawa:
Differentially Private Streaming Data Release under Temporal Correlations via Post-processing. CoRR abs/2306.13293 (2023) - [i39]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Towards Mobility Data Science (Vision Paper). CoRR abs/2307.05717 (2023) - [i38]Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa:
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy. CoRR abs/2308.12210 (2023) - [i37]Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa:
CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers. CoRR abs/2312.12938 (2023) - 2022
- [j14]Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa:
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. Proc. VLDB Endow. 15(9): 1766-1778 (2022) - [j13]Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment. ACM Trans. Spatial Algorithms Syst. 8(2): 1-35 (2022) - [c35]Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa, Huizhong Li, Qiang Yan:
FL-Market: Trading Private Models in Federated Learning. IEEE Big Data 2022: 1525-1534 - [c34]Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Asymmetric Differential Privacy. IEEE Big Data 2022: 1576-1581 - [c33]Shang Liu, Yang Cao, Takao Murakami, Masatoshi Yoshikawa:
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy. IEEE Big Data 2022: 5765-5774 - [c32]Xuyang Cao, Yang Cao, Masatoshi Yoshikawa, Atsuyoshi Nakamura:
Boosting Utility of Differentially Private Streaming Data Release under Temporal Correlations. IEEE Big Data 2022: 6605-6607 - [c31]Ryota Hiraishi, Masatoshi Yoshikawa, Shun Takagi, Yang Cao, Sumio Fujita, Hidehito Gomi:
Mitigating Privacy Vulnerability Caused by Map Asymmetry. DBSec 2022: 68-86 - [c30]Ruixuan Cao, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
An Accurate, Flexible and Private Trajectory-Based Contact Tracing System on Untrusted Servers. iiWAS 2022: 409-414 - [c29]Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Network Shuffling: Privacy Amplification via Random Walks. SIGMOD Conference 2022: 773-787 - [i36]Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment. CoRR abs/2202.07165 (2022) - [i35]Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa:
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data. CoRR abs/2203.06791 (2022) - [i34]Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Network Shuffling: Privacy Amplification via Random Walks. CoRR abs/2204.03919 (2022) - [i33]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie:
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR abs/2204.08146 (2022) - [i32]Shang Liu, Yang Cao, Takao Murakami, Masatoshi Yoshikawa:
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy. CoRR abs/2209.02231 (2022) - [i31]Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa:
Secure Shapley Value for Cross-Silo Federated Learning. CoRR abs/2209.04856 (2022) - [i30]Hisaichi Shibata, Shouhei Hanaoka, Yang Cao, Masatoshi Yoshikawa, Tomomi Takenaga, Yukihiro Nomura, Naoto Hayashi, Osamu Abe:
Local Differential Privacy Image Generation Using Flow-based Deep Generative Models. CoRR abs/2212.10688 (2022) - [i29]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Mobility Data Science (Dagstuhl Seminar 22021). Dagstuhl Reports 12(1): 1-34 (2022) - 2021
- [j12]Tsung-Ting Kuo, Tyler Bath, Shuaicheng Ma, Nicholas D. Pattengale, Meng Yang, Yang Cao, Corey M. Hudson, Jihoon Kim, Kai W. Post, Li Xiong, Lucila Ohno-Machado:
Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track. Int. J. Medical Informatics 154: 104559 (2021) - [j11]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa:
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. IEEE Trans. Knowl. Data Eng. 33(8): 3141-3154 (2021) - [c28]Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa:
FLAME: Differentially Private Federated Learning in the Shuffle Model. AAAI 2021: 8688-8696 - [c27]Wei Song, Mengfei Tang, Qiben Yan, Yuan Shen, Yang Cao, Qian Wang, Zhiyong Peng:
Privacy-Preserving Polynomial Evaluation over Spatio-Temporal Data on an Untrusted Cloud Server. DASFAA (1) 2021: 474-490 - [c26]Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Preventing Manipulation Attack in Local Differential Privacy Using Verifiable Randomization Mechanism. DBSec 2021: 43-60 - [c25]Shuaicheng Ma, Yang Cao, Li Xiong:
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. ICDE Workshops 2021: 88-91 - [c24]Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa:
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. ICDE 2021: 169-180 - [i28]Shuaicheng Ma, Yang Cao, Li Xiong:
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. CoRR abs/2101.10572 (2021) - [i27]Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie:
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. CoRR abs/2102.04925 (2021) - [i26]Shun Takagi, Yang Cao, Masatoshi Yoshikawa:
Asymmetric Differential Privacy. CoRR abs/2103.00996 (2021) - [i25]Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Preventing Manipulation Attack in Local Differential Privacy using Verifiable Randomization Mechanism. CoRR abs/2104.06569 (2021) - [i24]Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa:
Trading Data with Personalized Differential Privacy and Partial Arbitrage Freeness. CoRR abs/2105.01651 (2021) - [i23]Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa:
Incentive Mechanism for Privacy-Preserving Federated Learning. CoRR abs/2106.04384 (2021) - [i22]Yaowei Han, Yang Cao, Masatoshi Yoshikawa:
Understanding the Interplay between Privacy and Robustness in Federated Learning. CoRR abs/2106.07033 (2021) - 2020
- [j10]Caixia Yang, Liang Tan, Na Shi, Bolei Xu, Yang Cao, Keping Yu:
AuthPrivacyChain: A Blockchain-Based Access Control Framework With Privacy Protection in Cloud. IEEE Access 8: 70604-70615 (2020) - [j9]Chunmiao Li, Shijie Nie, Yang Cao, Yijun Yu, Zhenjiang Hu:
Trace-Based Dynamic Gas Estimation of Loops in Smart Contracts. IEEE Open J. Comput. Soc. 1: 295-306 (2020) - [j8]Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa:
PANDA: Policy-aware Location Privacy for Epidemic Surveillance. Proc. VLDB Endow. 13(12): 3001-3004 (2020) - [c23]Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware. IEEE BigData 2020: 4016-4025 - [c22]Chunmiao Li, Shijie Nie, Yang Cao, Yijun Yu, Zhenjiang Hu:
Dynamic Gas Estimation of Loops Using Machine Learning. BlockSys 2020: 428-441 - [c21]Shun Takagi, Yang Cao, Masatoshi Yoshikawa:
POSTER: Data Collection via Local Differential Privacy with Secret Parameters. AsiaCCS 2020: 910-912 - [c20]Shun Takagi, Yang Cao, Yasuhito Asano, Masatoshi Yoshikawa:
POSTER: Protecting Location Privacy on Road Networks. AsiaCCS 2020: 913-915 - [c19]Yaowei Han, Yang Cao, Sheng Li, Qiang Ma, Masatoshi Yoshikawa:
Voice-Indistinguishability - Protecting Voiceprint with Differential Privacy under an Untrusted Server. CCS 2020: 2125-2127 - [c18]Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen:
FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection. DASFAA (1) 2020: 485-501 - [c17]Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu:
PGLP: Customizable and Rigorous Location Privacy Through Policy Graph. ESORICS (1) 2020: 655-676 - [c16]Zheng Wen, Keping Yu, Xin Qi, Toshio Sato, Yutaka Katsuyama, Takuro Sato, Wataru Kameyama, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa, Min Luo, Jun Hashimoto:
Blockchain-Empowered Contact Tracing for COVID-19 Using Crypto-Spatiotemporal Information. HealthCom 2020: 1-6 - [c15]Xiaolan Gu, Ming Li, Li Xiong, Yang Cao:
Providing Input-Discriminative Protection for Local Differential Privacy. ICDE 2020: 505-516 - [c14]Yaowei Han, Sheng Li, Yang Cao, Qiang Ma, Masatoshi Yoshikawa:
Voice-Indistinguishability: Protecting Voiceprint In Privacy-Preserving Speech Data Release. ICME 2020: 1-6 - [c13]Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa:
Money Cannot Buy Everything: Trading Mobile Data with Controllable Privacy Loss. MDM 2020: 29-38 - [c12]Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong, Yang Cao:
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. USENIX Security Symposium 2020: 967-984 - [i21]Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen:
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection. CoRR abs/2003.10637 (2020) - [i20]Yaowei Han, Sheng Li, Yang Cao, Qiang Ma, Masatoshi Yoshikawa:
Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release. CoRR abs/2004.07442 (2020) - [i19]Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa:
PANDA: Policy-aware Location Privacy for Epidemic Surveillance. CoRR abs/2005.00186 (2020) - [i18]Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu:
Customizable and Rigorous Location Privacy through Policy Graph. CoRR abs/2005.01263 (2020) - [i17]Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa:
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. CoRR abs/2006.12101 (2020) - [i16]Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa:
FLAME: Differentially Private Federated Learning in the Shuffle Model. CoRR abs/2009.08063 (2020) - [i15]Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware. CoRR abs/2010.13381 (2020) - [i14]Shun Takagi, Yang Cao, Yasuhito Asano, Masatoshi Yoshikawa:
Geo-Graph-Indistinguishability: Location Privacy on Road Networks Based on Differential Privacy. CoRR abs/2010.13449 (2020) - [i13]Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment. CoRR abs/2012.03782 (2020) - [i12]Patrick Ocheja, Yang Cao, Shiyao Ding, Masatoshi Yoshikawa:
Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps. CoRR abs/2012.13061 (2020)
2010 – 2019
- 2019
- [j7]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa:
PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. Proc. VLDB Endow. 12(12): 1866-1869 (2019) - [j6]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations. IEEE Trans. Knowl. Data Eng. 31(7): 1281-1295 (2019) - [j5]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Errata on "Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations". IEEE Trans. Knowl. Data Eng. 31(11): 2234 (2019) - [c11]Xiaolan Gu, Ming Li, Yang Cao, Li Xiong:
Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy. CNS 2019: 124-132 - [c10]Shun Takagi, Yang Cao, Yasuhito Asano, Masatoshi Yoshikawa:
Geo-Graph-Indistinguishability: Protecting Location Privacy for LBS over Road Networks. DBSec 2019: 143-163 - [c9]Maho Asada, Masatoshi Yoshikawa, Yang Cao:
"When and Where Do You Want to Hide?" - Recommendation of Location Privacy Preferences with Local Differential Privacy. DBSec 2019: 164-176 - [c8]Chunmiao Li, Yang Cao, Zhenjiang Hu, Masatoshi Yoshikawa:
Blockchain-Based Bidirectional Updates on Fine-Grained Medical Data. ICDE Workshops 2019: 22-27 - [c7]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai:
PriSTE: From Location Privacy to Spatiotemporal Event Privacy. ICDE 2019: 1606-1609 - [c6]Gang Liu, Kai Wang, Wangyang Liu, Yang Cao, Guang Li:
Shared Word Embedding Space Modeling Method Based on Orthogonal Projection. ICVISP 2019: 37:1-37:5 - [c5]Gang Liu, Sennan Zhang, Wangyang Liu, Yang Cao, Suyan Sun:
Cross-Language Information Matching Technology Based on Term Extraction. ISKE 2019: 886-892 - [i11]Maho Asada, Masatoshi Yoshikawa, Yang Cao:
When and where do you want to hide? Recommendation of location privacy preferences with local differential privacy. CoRR abs/1904.10578 (2019) - [i10]Chunmiao Li, Yang Cao, Zhenjiang Hu, Masatoshi Yoshikawa:
Blockchain-based Bidirectional Updates on Fine-grained Medical Data. CoRR abs/1904.10606 (2019) - [i9]Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa:
Money Cannot Buy Everything: Trading Infinite Location Data Streams with Bounded Individual Privacy Loss. CoRR abs/1906.05457 (2019) - [i8]Shuaicheng Ma, Yang Cao, Li Xiong:
Effcient logging and querying for Blockchain-based cross-site genomic dataset access audit. CoRR abs/1907.07303 (2019) - [i7]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa:
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. CoRR abs/1907.10814 (2019) - [i6]Xiaolan Gu, Ming Li, Li Xiong, Yang Cao:
Providing Input-Discriminative Protection for Local Differential Privacy. CoRR abs/1911.01402 (2019) - [i5]Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong, Yang Cao:
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. CoRR abs/1911.12834 (2019) - 2018
- [j4]Yang Cao, Li Xiong, Masatoshi Yoshikawa, Yonghui Xiao, Si Zhang:
ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release. Proc. VLDB Endow. 11(12): 2090-2093 (2018) - [i4]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai:
PriSTE: From Location Privacy to Spatiotemporal Event Privacy. CoRR abs/1810.09152 (2018) - 2017
- [b1]Yang Cao:
Rigorous and Flexible Privacy Protection Framework for Utilizing Personal Spatiotemporal Data. Kyoto University, Japan, 2017 - [j3]Yonghui Xiao, Li Xiong, Si Zhang, Yang Cao:
LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model. Proc. VLDB Endow. 10(12): 1901-1904 (2017) - [c4]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Quantifying Differential Privacy under Temporal Correlations. ICDE 2017: 821-832 - [c3]Rachana Nget, Yang Cao, Masatoshi Yoshikawa:
How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market. eCOM@SIGIR 2017 - [i3]Rachana Nget, Yang Cao, Masatoshi Yoshikawa:
How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market. CoRR abs/1705.02982 (2017) - [i2]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations. CoRR abs/1711.11436 (2017) - 2016
- [j2]Yang Cao, Masatoshi Yoshikawa:
Differentially Private Real-Time Data Publishing over Infinite Trajectory Streams. IEICE Trans. Inf. Syst. 99-D(1): 163-175 (2016) - [c2]Yang Cao:
Rigorous and Flexible Privacy Models for Utilizing Personal Spatiotemporal Data. PhD@VLDB 2016 - [i1]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Quantifying Differential Privacy under Temporal Correlations. CoRR abs/1610.07543 (2016) - 2015
- [c1]Yang Cao, Masatoshi Yoshikawa:
Differentially Private Real-Time Data Release over Infinite Trajectory Streams. MDM (2) 2015: 68-73 - 2013
- [j1]Yang Cao, Ju Fan, Guoliang Li:
A User-Friendly Patent Search Paradigm. IEEE Trans. Knowl. Data Eng. 25(6): 1439-1443 (2013)
Coauthor Index
[i54] [j23] [j22] [c51] [c50] [i52] [i51] [i48] [i47] [i45] [j19] [j18] [j17] [j16] [c45] [c44] [c43] [c42] [c36] [i40] [i38] [i37] [j14] [j13] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [i36] [i35] [i34] [i32] [i31] [i30] [j11] [c28] [c26] [c24] [i26] [i25] [i24] [i23] [i22] [j8] [c23] [c21] [c20] [c19] [c18] [c17] [c16] [c14] [c13] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [j7] [j6] [j5] [c10] [c9] [c8] [i11] [i10] [i9] [i7] [j4] [c4] [c3] [i3] [i2] [j2] [i1] [c1]
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