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 facilitating algorithmic trustworthiness in data science and AI.

Language of Instruction

• Japanese
• English
• Chinese

ID,URL

• J-Global ID

  201801009424268750

• Researcher number

  60836344

• External link

  https://www.db.soc.i.kyoto-u.ac.jp/~cao/

Website(s) (URL(s))

• https://www.db.soc.i.kyoto-u.ac.jp/~cao/

researchmap URL

• https://researchmap.jp/yangcao

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

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K19767/
• 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

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19K20269/
• 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

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22H03595/

Education

Teaching subject(s)

• From 01 Apr. 2022, To 31 Mar. 2023

  Practice of Information Systems

  3221, Spring, Graduate School of Informatics, 2
• 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