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Cao, Yang

Graduate School of Informatics, Department of Social Informatics Program-Specific Associate Professor

Cao, Yang
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    Last Updated :2022/05/13

    Basic Information

    Academic Degree

    • Master(Kyoto University)
    • Ph.D.(Kyoto University)

    Academic Resume (Graduate Schools)

    • 京都大学, 大学院情報学研究科修士課程通信情報システム専攻, 修了
    • 京都大学, 大学院情報学研究科博士後期課程社会情報学専攻, 修了

    Research History

    • From Jul. 2018, To Mar. 2022
      Kyoto University, Graduate School of Informatics Department of Socisl Informatics, Program-Specific Assistant Professor
    • From Apr. 2017, To Jun. 2018
      Emory University, Department of Computer Science, Postdoctoral Fellow
    • From Apr. 2022, To Present
      Kyoto University, Graduate School of Informatics Department of Socisl Informatics, Program-Specific Associate Professor

    Profile

    • Profile

      Yang Cao received a Ph.D. degree from the Graduate School of Informatics, Kyoto University in 2017.
      He did postdoctoral research at Emory University from April 2017 to July 2018.
      He has been a faculty member at the Graduate School of Informatics, Kyoto University, since July 2018.


      He is passionate about trustworthy data science and AI.

    Language of Instruction

    • Japanese
    • English
    • Chinese

    ID,URL

    Website(s) (URL(s))

    researchmap URL

    list
      Last Updated :2022/05/13

      Research

      Research Interests

      • Differential Privacy
      • Federated Learning
      • Privacy-Preserving Machine Learning
      • Data Market
      • Blockchain

      Research Areas

      • Informatics, Database science
      • Informatics, Information security
      • Informatics, Intelligent informatics

      Papers

      • Network Shuffling: Privacy Amplification via Random Walks.
        Seng Pei Liew; Tsubasa Takahashi 0001; Shun Takagi; Fumiyuki Kato; Yang Cao 0011; Masatoshi Yoshikawa
        SIGMOD 2022, 2022
      • HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data.
        Fumiyuki Kato; Tsubasa Takahashi 0001; Shun Takagi; Yang Cao 0011; Seng Pei Liew; Masatoshi Yoshikawa
        VLDB 2022, 2022
      • OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment.
        Fumiyuki Kato; Yang Cao 0011; Masatoshi Yoshikawa
        CoRR, 2022
      • PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment.
        Fumiyuki Kato; Yang Cao 0011; Mastoshi Yoshikawa
        ACM Trans. Spatial Algorithms Syst., 2022
      • Transparent Contribution Evaluation for Secure Federated Learning on Blockchain.
        Shuaicheng Ma; Yang Cao 0011; Li Xiong 0001
        37th IEEE International Conference on Data Engineering Workshops, 2021
      • Preventing Manipulation Attack in Local Differential Privacy Using Verifiable Randomization Mechanism.
        Fumiyuki Kato; Yang Cao 0011; Masatoshi Yoshikawa
        Data and Applications Security and Privacy XXXV - 35th Annual IFIP WG 11.3 Conference(DBSec), 2021
      • Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services.
        Yang Cao 0011; Yonghui Xiao; Li Xiong 0001; Liquan Bai; Masatoshi Yoshikawa
        IEEE Transactions on Knowledge and Data Engineering, 2021
      • Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track.
        Tsung-Ting Kuo; Tyler Bath; Shuaicheng Ma; Nicholas Pattengale; Meng Yang; Yang Cao 0011; Corey M. Hudson; Jihoon Kim; Kai Post; Li Xiong 0001; Lucila Ohno-Machado
        International Journal of Medical Informatics, 2021
      • Trace-Based Dynamic Gas Estimation of Loops in Smart Contracts.
        Chunmiao Li; Shijie Nie; Yang Cao 0011; Yijun Yu; Zhenjiang Hu
        IEEE Open Journal of the Computer Society, 2020
      • Understanding the Interplay between Privacy and Robustness in Federated Learning.
        Yaowei Han; Yang Cao 0011; Masatoshi Yoshikawa
        CoRR, 2021
      • Incentive Mechanism for Privacy-Preserving Federated Learning.
        Shuyuan Zheng; Yang Cao 0011; Masatoshi Yoshikawa
        CoRR, 2021
      • Trading Data with Personalized Differential Privacy and Partial Arbitrage Freeness.
        Shuyuan Zheng; Yang Cao 0011; Masatoshi Yoshikawa
        CoRR, 2021
      • Asymmetric Differential Privacy.
        Shun Takagi; Yang Cao 0011; Masatoshi Yoshikawa
        CoRR, 2021
      • P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model.
        Shun Takagi; Tsubasa Takahashi 0001; Yang Cao 0011; Masatoshi Yoshikawa
        37th IEEE International Conference on Data Engineering(ICDE), 2021
      • FLAME: Differentially Private Federated Learning in the Shuffle Model.
        Ruixuan Liu; Yang Cao; Hong Chen; Ruoyang Guo; Masatoshi Yoshikawa
        AAAI 2021, 2021, Corresponding author
      • Voice-Indistinguishability -- Protecting Voiceprint with Differential Privacy under an Untrusted Server
        Yaowei Han; Yang Cao; Sheng Li; Qiang Ma; Masatoshi Yoshikawa
        Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, 30 Oct. 2020
      • FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection.
        Ruixuan Liu; Yang Cao 0011; Masatoshi Yoshikawa; Hong Chen 0001
        Database Systems for Advanced Applications - 25th International Conference, 2020
      • Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps.
        Patrick Ocheja; Yang Cao 0011; Shiyao Ding; Masatoshi Yoshikawa
        CoRR, 2020
      • Geo-Graph-Indistinguishability: Location Privacy on Road Networks Based on Differential Privacy.
        Shun Takagi; Yang Cao 0011; Yasuhito Asano; Masatoshi Yoshikawa
        CoRR, 2020
      • PGLP: Customizable and Rigorous Location Privacy Through Policy Graph.
        Yang Cao 0011; Yonghui Xiao; Shun Takagi; Li Xiong 0001; Masatoshi Yoshikawa; Yilin Shen; Jinfei Liu; Hongxia Jin; Xiaofeng Xu
        Computer Security - ESORICS 2020 - 25th European Symposium on Research in Computer Security, 2020
      • PANDA: Policy-aware Location Privacy for Epidemic Surveillance.
        Yang Cao 0011; Shun Takagi; Yonghui Xiao; Li Xiong 0001; Masatoshi Yoshikawa
        Proc. VLDB Endow., 2020
      • POSTER: Protecting Location Privacy on Road Networks.
        Shun Takagi; Yang Cao 0011; Yasuhito Asano; Masatoshi Yoshikawa
        ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security(AsiaCCS), 2020
      • POSTER: Data Collection via Local Differential Privacy with Secret Parameters.
        Shun Takagi; Yang Cao 0011; Masatoshi Yoshikawa
        ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security(AsiaCCS), 2020
      • Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware.
        Fumiyuki Kato; Yang Cao 0011; Masatoshi Yoshikawa
        2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
      • Blockchain-Empowered Contact Tracing for COVID-19 Using Crypto-Spatiotemporal Information.
        Zheng Wen; Keping Yu; Xin Qi 0002; Toshio Sato; Yutaka Katsuyama; Takuro Sato; Wataru Kameyama; Fumiyuki Kato; Yang Cao 0011; Masatoshi Yoshikawa; Min Luo; Jun Hashimoto
        22nd IEEE International Conference on E-health Networking(HealthCom), 2020
      • Dynamic Gas Estimation of Loops Using Machine Learning
        Chunmiao Li; Shijie Nie; Yang Cao; Yijun Yu; Zhenjiang Hu
        Communications in Computer and Information Science, 2020
      • P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model.
        Shun Takagi; Tsubasa Takahashi 0001; Yang Cao 0011; Masatoshi Yoshikawa
        IEEE ICDE 2021, 2020, Peer-reviewed
      • PGLP: Customizable and Rigorous Location Privacy through Policy Graph.
        Yang Cao 0011; Yonghui Xiao; Shun Takagi; Li Xiong 0001; Masatoshi Yoshikawa; Yilin Shen; Jinfei Liu; Hongxia Jin; Xiaofeng Xu
        ESORICS 2020, 2020, Peer-reviewed
      • PANDA: Policy-aware Location Privacy for Epidemic Surveillance.
        Yang Cao 0011; Shun Takagi; Yonghui Xiao; Li Xiong 0001; Masatoshi Yoshikawa
        VLDB 2020 (demo), 2020, Peer-reviewed, Lead author
      • Efficient logging and querying for Blockchain-based cross-site genomic dataset access audit.
        Shuaicheng Ma, Yang Cao and Li Xiong
        BMC Medical Genomics, 2020, Peer-reviewed
      • PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility.
        Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong and Yang Cao
        USENIX Security 2020, 2020, Peer-reviewed
      • Providing Input-Discriminative Protection for Local Differential Privacy.
        Xiaolan Gu, Ming Li, Li Xiong and Yang Cao
        IEEE ICDE, 2020, Peer-reviewed
      • Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release.
        Yaowei Han; Sheng Li 0010; Yang Cao 0011; Qiang Ma 0001; Masatoshi Yoshikawa
        ICME 2020, 2020, Peer-reviewed, Corresponding author
      • AuthPrivacyChain: A Blockchain-based Access Control Framework with Privacy Protection in Cloud.
        Caixia Yang, Liang Tan, Na Shi, Bolei Xu, Yang Cao, Keping Yu
        IEEE Access, 2020, Peer-reviewed
      • Money Cannot Buy Everything: Trading Mobile Data with Controllable Privacy Loss
        Shuyuan Zheng; Yang Cao 0011; Masatoshi Yoshikawa
        21st IEEE International Conference on Mobile Data Management(MDM), 2020, Peer-reviewed, Corresponding author
      • Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services
        Yang Cao; Yonghui Xiao; Li Xiong; Liquan Bai; Masatoshi Yoshikawa
        IEEE Transactions on Knowledge and Data Engineering (TKDE), Jan. 2020, Peer-reviewed, Lead author
      • Privacy-Preserving Range Queries and Frequency Estimation with Geo-indistinguishability
        Xiaolan Gu; Ming Li; Yang Cao; Li Xiong
        IEEE Conference on Communications and Network Security (CNS) 2019, to appear, Jun. 2019, Peer-reviewed
      • PriSTE: From Location Privacy to Spatiotemporal Event Privacy.
        Yang Cao 0011; Yonghui Xiao; Li Xiong 0001; Liquan Bai
        IEEE ICDE 2019., 2019, Peer-reviewed
      • Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations.
        Yang Cao 0011; Masatoshi Yoshikawa; Yonghui Xiao; Li Xiong 0001
        IEEE Trans. Knowl. Data Eng., 2019, Peer-reviewed
      • PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services.
        Yang Cao 0011; Yonghui Xiao; Li Xiong 0001; Liquan Bai; Masatoshi Yoshikawa
        PVLDB, 2019, Peer-reviewed
      • Geo-Graph-Indistinguishability: Protecting Location Privacy for LBS over Road Networks.
        Shun Takagi; Yang Cao 0011; Yasuhito Asano; Masatoshi Yoshikawa
        33rd Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec'19), to appear., 2019, Peer-reviewed
      • "When and Where Do You Want to Hide?" - Recommendation of Location Privacy Preferences with Local Differential Privacy.
        Maho Asada; Masatoshi Yoshikawa; Yang Cao 0011
        33rd Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec'19), to appear., 2019, Peer-reviewed
      • Blockchain-Based Bidirectional Updates on Fine-Grained Medical Data.
        Chunmiao Li; Yang Cao 0011; Zhenjiang Hu; Masatoshi Yoshikawa
        BlockDM workshop in ICDE 2019, to appear, 2019, Peer-reviewed
      • Obfuscation of a Trajectory Terminal using Geo-indistinguishability
        Maho Asada; Yang Cao; Masatoshi Yoshikawa
        DBSJ Japanese Journal, Mar. 2018, Peer-reviewed
      • PriSTE: From Location Privacy to Spatiotemporal Event Privacy.
        Yang Cao 0011; Yonghui Xiao; Li Xiong 0001; Liquan Bai
        CoRR, 2018, Peer-reviewed
      • ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release.
        Yang Cao 0011; Li Xiong 0001; Masatoshi Yoshikawa; Yonghui Xiao; Si Zhang
        PVLDB, 2018, Peer-reviewed
      • How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market.
        Rachana Nget; Yang Cao 0011; Masatoshi Yoshikawa
        Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval(eCOM@SIGIR), 2017, Peer-reviewed
      • LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model.
        Yonghui Xiao; Li Xiong 0001; Si Zhang; Yang Cao 0011
        PVLDB, 2017, Peer-reviewed
      • Quantifying Differential Privacy under Temporal Correlations.
        Yang Cao 0011; Masatoshi Yoshikawa; Yonghui Xiao; Li Xiong 0001
        33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017, 2017, Peer-reviewed
      • Rigorous and Flexible Privacy Models for Utilizing Personal Spatiotemporal Data.
        Yang Cao 0011
        VLDB 2016 PhD workshop, 2016, Peer-reviewed
      • Differentially Private Real-Time Data Publishing over Infinite Trajectory Streams.
        Yang Cao 0011; Masatoshi Yoshikawa
        IEICE Transactions, 2016, Peer-reviewed
      • Differentially Private Real-time Data Release over Infinite Trajectory Streams
        Yang Cao; Mashatoshi Yoshikawa
        2015 16TH IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT, VOL 2, 2015, Peer-reviewed

      Misc.

      • 道路ネットワークにおける位置情報プライバシー
        高木駿,曹洋,浅野泰仁,吉川正俊
        DEIM 2019 (Best Paper), 2019
      • 差分プライバシに基づく移動経路データの要約情報開示
        曹 洋; 吉川 正俊
        DEIM2015, 2015

      External funds: Kakenhi

      • 個人の選好と報酬配分を考慮したパーソナルデータの健全で頑健な流通系構築に向けて
        Grant-in-Aid for Challenging Research (Exploratory)
        Medium-sized Section 60:Information science, computer engineering, and related fields
        Kyoto University
        吉川 正俊
        From 09 Jul. 2021, To 31 Mar. 2024, Granted
        パーソナルデータ;プライバシー保護;差分プライバシー;データ価値査定
      • Achieving Differential Privacy under Spatiotemporal Correlations
        Grant-in-Aid for Early-Career Scientists
        Basic Section 60070:Information security-related
        Kyoto University
        曹 洋
        From 01 Apr. 2019, To 31 Mar. 2022, Granted
        Differential Privacy;location privacy;spatiotemporal data;差分プライバシー;位置情報プライバシ;時空間データ
      • A Principled Framework for Explaining, Choosing and Negotiating Privacy Parameters of Differential Privacy
        Grant-in-Aid for Scientific Research (B)
        Basic Section 60080:Database-related
        Kyoto University
        曹 洋
        From 01 Apr. 2022, To 31 Mar. 2025, Adopted
      list
        Last Updated :2022/05/13

        Education

        Teaching subject(s)

        • From Apr. 2021, To Mar. 2022
          Practice of Information Systems (Jp)
          Spring, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          Practice of Information Systems (En)
          Spring, 情報学研究科

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