Yang Cao

Orcid: 0000-0002-6424-8633

Affiliations:
  • Tokyo Institute of Technology, Japan (since 2024)
  • Hokkaido University, Japan (2022 - 2024)
  • Kyoto University, Department of Social Informatics, Japan (2018 - 2022)
  • Emory University, Department of Mathematics and Computer Science, Atlanta, GA, USA (2017 - 2018)
  • Kyoto University, Japan (PhD 2017)


According to our database1, Yang Cao authored at least 95 papers between 2013 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Front Matter.
Proc. VLDB Endow., August, 2024

HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization.
Proc. VLDB Endow., July, 2024

Uldp-FL: Federated Learning with Across Silo User-Level Differential Privacy.
Proc. VLDB Endow., July, 2024

Mobility Data Science: Perspectives and Challenges.
ACM Trans. Spatial Algorithms Syst., June, 2024

Differentially private trajectory event streams publishing under data dependence constraints.
Inf. Sci., February, 2024

Phantom in the opera: adversarial music attack for robot dialogue system.
Frontiers Comput. Sci., 2024

PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms.
CoRR, 2024

TabularMark: Watermarking Tabular Datasets for Machine Learning.
CoRR, 2024

Federated Graph Analytics with Differential Privacy.
CoRR, 2024

PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps.
CoRR, 2024

Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Mechanisms to Address Different Privacy Requirements for Users and Locations.
IEICE Trans. Inf. Syst., December, 2023

Geo-Graph-Indistinguishability: Location Privacy on Road Networks with Differential Privacy.
IEICE Trans. Inf. Syst., May, 2023

Secure Shapley Value for Cross-Silo Federated Learning.
Proc. VLDB Endow., 2023

Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets.
Proc. VLDB Endow., 2023

Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification.
Proc. VLDB Endow., 2023

Towards Mobility Data Science (Vision Paper).
CoRR, 2023

Supporting Pandemic Preparedness with Privacy Enhancing Technology.
Proceedings of the 5th IEEE International Conference on Trust, 2023

Towards Benchmarking Privacy Risk for Differential Privacy: A Survey.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System.
Proceedings of the ACM Multimedia Asia 2023, 2023

Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization.
Proceedings of the ACM Multimedia Asia 2023, 2023

CSGAN: Modality-Aware Trajectory Generation via Clustering-based Sequence GAN.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Locally Private Streaming Data Release with Shuffling and Subsampling.
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

General or Specific? Investigating Effective Privacy Protection in Federated Learning for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Differentially Private Streaming Data Release Under Temporal Correlations via Post-processing.
Proceedings of the Data and Applications Security and Privacy XXXVII, 2023

From Bounded to Unbounded: Privacy Amplification via Shuffling with Dummies.
Proceedings of the 36th IEEE Computer Security Foundations Symposium, 2023

2022
PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment.
ACM Trans. Spatial Algorithms Syst., 2022

HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data.
Proc. VLDB Endow., 2022

Mobility Data Science (Dagstuhl Seminar 22021).
Dagstuhl Reports, 2022

Local Differential Privacy Image Generation Using Flow-based Deep Generative Models.
CoRR, 2022

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation.
CoRR, 2022

OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment.
CoRR, 2022

Network Shuffling: Privacy Amplification via Random Walks.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

An Accurate, Flexible and Private Trajectory-Based Contact Tracing System on Untrusted Servers.
Proceedings of the Information Integration and Web Intelligence, 2022

Mitigating Privacy Vulnerability Caused by Map Asymmetry.
Proceedings of the Data and Applications Security and Privacy XXXVI, 2022

FL-Market: Trading Private Models in Federated Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

Asymmetric Differential Privacy.
Proceedings of the IEEE International Conference on Big Data, 2022

A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy.
Proceedings of the IEEE International Conference on Big Data, 2022

Boosting Utility of Differentially Private Streaming Data Release under Temporal Correlations.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services.
IEEE Trans. Knowl. Data Eng., 2021

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, 2021

Understanding the Interplay between Privacy and Robustness in Federated Learning.
CoRR, 2021

Incentive Mechanism for Privacy-Preserving Federated Learning.
CoRR, 2021

Trading Data with Personalized Differential Privacy and Partial Arbitrage Freeness.
CoRR, 2021

Asymmetric Differential Privacy.
CoRR, 2021

FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation.
CoRR, 2021

P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Transparent Contribution Evaluation for Secure Federated Learning on Blockchain.
Proceedings of the 37th IEEE International Conference on Data Engineering Workshops, 2021

Preventing Manipulation Attack in Local Differential Privacy Using Verifiable Randomization Mechanism.
Proceedings of the Data and Applications Security and Privacy XXXV, 2021

Privacy-Preserving Polynomial Evaluation over Spatio-Temporal Data on an Untrusted Cloud Server.
Proceedings of the Database Systems for Advanced Applications, 2021

FLAME: Differentially Private Federated Learning in the Shuffle Model.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
PANDA: Policy-aware Location Privacy for Epidemic Surveillance.
Proc. VLDB Endow., 2020

Trace-Based Dynamic Gas Estimation of Loops in Smart Contracts.
IEEE Open J. Comput. Soc., 2020

Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps.
CoRR, 2020

Geo-Graph-Indistinguishability: Location Privacy on Road Networks Based on Differential Privacy.
CoRR, 2020

Customizable and Rigorous Location Privacy through Policy Graph.
CoRR, 2020

AuthPrivacyChain: A Blockchain-Based Access Control Framework With Privacy Protection in Cloud.
IEEE Access, 2020

PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility.
Proceedings of the 29th USENIX Security Symposium, 2020

Money Cannot Buy Everything: Trading Mobile Data with Controllable Privacy Loss.
Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

Voice-Indistinguishability: Protecting Voiceprint In Privacy-Preserving Speech Data Release.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Providing Input-Discriminative Protection for Local Differential Privacy.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Blockchain-Empowered Contact Tracing for COVID-19 Using Crypto-Spatiotemporal Information.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

PGLP: Customizable and Rigorous Location Privacy Through Policy Graph.
Proceedings of the Computer Security - ESORICS 2020, 2020

FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection.
Proceedings of the Database Systems for Advanced Applications, 2020

POSTER: Data Collection via Local Differential Privacy with Secret Parameters.
Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

POSTER: Protecting Location Privacy on Road Networks.
Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

Voice-Indistinguishability - Protecting Voiceprint with Differential Privacy under an Untrusted Server.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

Dynamic Gas Estimation of Loops Using Machine Learning.
Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020

Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Errata on "Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations".
IEEE Trans. Knowl. Data Eng., 2019

Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations.
IEEE Trans. Knowl. Data Eng., 2019

PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services.
Proc. VLDB Endow., 2019

Effcient logging and querying for Blockchain-based cross-site genomic dataset access audit.
CoRR, 2019

Money Cannot Buy Everything: Trading Infinite Location Data Streams with Bounded Individual Privacy Loss.
CoRR, 2019

Cross-Language Information Matching Technology Based on Term Extraction.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Shared Word Embedding Space Modeling Method Based on Orthogonal Projection.
Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019

Blockchain-Based Bidirectional Updates on Fine-Grained Medical Data.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

PriSTE: From Location Privacy to Spatiotemporal Event Privacy.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Geo-Graph-Indistinguishability: Protecting Location Privacy for LBS over Road Networks.
Proceedings of the Data and Applications Security and Privacy XXXIII, 2019

"When and Where Do You Want to Hide?" - Recommendation of Location Privacy Preferences with Local Differential Privacy.
Proceedings of the Data and Applications Security and Privacy XXXIII, 2019

Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy.
Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

2018
ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release.
Proc. VLDB Endow., 2018

2017
Rigorous and Flexible Privacy Protection Framework for Utilizing Personal Spatiotemporal Data.
PhD thesis, 2017

LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model.
Proc. VLDB Endow., 2017

How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market.
Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Quantifying Differential Privacy under Temporal Correlations.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Differentially Private Real-Time Data Publishing over Infinite Trajectory Streams.
IEICE Trans. Inf. Syst., 2016

Rigorous and Flexible Privacy Models for Utilizing Personal Spatiotemporal Data.
Proceedings of the VLDB 2016 PhD Workshop co-located with the 42nd International Conference on Very Large Databases (VLDB 2016), 2016

2015
Differentially Private Real-Time Data Release over Infinite Trajectory Streams.
Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

2013
A User-Friendly Patent Search Paradigm.
IEEE Trans. Knowl. Data Eng., 2013


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