Yang Cao

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 104

Top Venues

Publications

Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong
TabularMark: Watermarking Tabular Datasets for Machine Learning. CoRR (2024)
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 (2024)
Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation. WWW (2024)
Shun Takagi, Li Xiong, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization. CoRR (2024)
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 (2024)
Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa
CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers. ICDE (2024)
Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa
Federated Graph Analytics with Differential Privacy. CoRR (2024)
Chenquan Gan, Jiahao Zheng, Qingyi Zhu, Yang Cao, Ye Zhu
A survey of dialogic emotion analysis: Developments, approaches and perspectives. Pattern Recognit. 156 (2024)
Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. CoRR (2024)
Pengcheng Jiang, Ye Zhu, Yang Cao, Gang Li, Gang Liu, Bo Yang
Robust Representation Learning for Image Clustering. KSEM (4) (2024)
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) (2024)
Sheng Li, Jiyi Li, Yang Cao
Phantom in the opera: adversarial music attack for robot dialogue system. Frontiers Comput. Sci. 6 (2024)
Xuyang Cao, Yang Cao, Primal Pappachan, Atsuyoshi Nakamura, Masatoshi Yoshikawa
Differentially Private Streaming Data Release under Temporal Correlations via Post-processing. CoRR (2023)
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) (2023)
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification. Proc. VLDB Endow. 16 (10) (2023)
Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa
CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers. CoRR (2023)
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) (2023)
Chao Tan, Yang Cao, Sheng Li, Masatoshi Yoshikawa
General or Specific? Investigating Effective Privacy Protection in Federated Learning for Speech Emotion Recognition. ICASSP (2023)
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) (2023)
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)
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)
Xuyang Cao, Yang Cao, Primal Pappachan, Atsuyoshi Nakamura, Masatoshi Yoshikawa
Differentially Private Streaming Data Release Under Temporal Correlations via Post-processing. DBSec (2023)
Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
From Bounded to Unbounded: Privacy Amplification via Shuffling with Dummies. CSF (2023)
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
Secure Shapley Value for Cross-Silo Federated Learning. Proc. VLDB Endow. 16 (7) (2023)
Minxing Zhang, Haowen Lin, Shun Takagi, Yang Cao, Cyrus Shahabi, Li Xiong
CSGAN: Modality-Aware Trajectory Generation via Clustering-based Sequence GAN. MDM (2023)
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 (2023)
Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Asymmetric Differential Privacy. Big Data (2022)
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment. CoRR (2022)
Shang Liu, Yang Cao, Takao Murakami, Masatoshi Yoshikawa
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy. Big Data (2022)
Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Network Shuffling: Privacy Amplification via Random Walks. CoRR (2022)
Xuyang Cao, Yang Cao, Masatoshi Yoshikawa, Atsuyoshi Nakamura
Boosting Utility of Differentially Private Streaming Data Release under Temporal Correlations. Big Data (2022)
Shang Liu, Yang Cao, Takao Murakami, Masatoshi Yoshikawa
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy. CoRR (2022)
Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Network Shuffling: Privacy Amplification via Random Walks. SIGMOD Conference (2022)
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa, Huizhong Li, Qiang Yan
FL-Market: Trading Private Models in Federated Learning. Big Data (2022)
Ryota Hiraishi, Masatoshi Yoshikawa, Shun Takagi, Yang Cao, Sumio Fujita, Hidehito Gomi
Mitigating Privacy Vulnerability Caused by Map Asymmetry. DBSec (2022)
Fumiyuki Kato, Yang Cao, Mastoshi Yoshikawa
PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment. ACM Trans. Spatial Algorithms Syst. 8 (2) (2022)
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) (2022)
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 (2022)
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 (2022)
Ruixuan Cao, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
An Accurate, Flexible and Private Trajectory-Based Contact Tracing System on Untrusted Servers. iiWAS (2022)
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) (2022)
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
Secure Shapley Value for Cross-Silo Federated Learning. CoRR (2022)
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
Incentive Mechanism for Privacy-Preserving Federated Learning. CoRR (2021)
Shuaicheng Ma, Yang Cao, Li Xiong
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. ICDE Workshops (2021)
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
Trading Data with Personalized Differential Privacy and Partial Arbitrage Freeness. CoRR (2021)
Shun Takagi, Yang Cao, Masatoshi Yoshikawa
Asymmetric Differential Privacy. CoRR (2021)
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Preventing Manipulation Attack in Local Differential Privacy Using Verifiable Randomization Mechanism. DBSec (2021)
Tsung-Ting Kuo, Tyler Bath, Shuaicheng Ma, Nicholas Pattengale, Meng Yang, Yang Cao, Corey M. Hudson, Jihoon Kim, Kai 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 (2021)
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) (2021)
Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. ICDE (2021)
Yaowei Han, Yang Cao, Masatoshi Yoshikawa
Understanding the Interplay between Privacy and Robustness in Federated Learning. CoRR (2021)
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Preventing Manipulation Attack in Local Differential Privacy using Verifiable Randomization Mechanism. CoRR (2021)
Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa
FLAME: Differentially Private Federated Learning in the Shuffle Model. AAAI (2021)
Shuaicheng Ma, Yang Cao, Li Xiong
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. CoRR (2021)
Yaowei Han, Sheng Li, Yang Cao, Qiang Ma, Masatoshi Yoshikawa
Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release. CoRR (2020)
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)
Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection. CoRR (2020)
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware. CoRR (2020)
Xiaolan Gu, Ming Li, Li Xiong, Yang Cao
Providing Input-Discriminative Protection for Local Differential Privacy. ICDE (2020)
Shun Takagi, Yang Cao, Masatoshi Yoshikawa
POSTER: Data Collection via Local Differential Privacy with Secret Parameters. AsiaCCS (2020)
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)
Shun Takagi, Yang Cao, Yasuhito Asano, Masatoshi Yoshikawa
POSTER: Protecting Location Privacy on Road Networks. AsiaCCS (2020)
Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa
FLAME: Differentially Private Federated Learning in the Shuffle Model. CoRR (2020)
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment. CoRR (2020)
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
Money Cannot Buy Everything: Trading Mobile Data with Controllable Privacy Loss. MDM (2020)
Yaowei Han, Sheng Li, Yang Cao, Qiang Ma, Masatoshi Yoshikawa
Voice-Indistinguishability: Protecting Voiceprint In Privacy-Preserving Speech Data Release. ICME (2020)
Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa
PANDA: Policy-aware Location Privacy for Epidemic Surveillance. Proc. VLDB Endow. 13 (12) (2020)
Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model. CoRR (2020)
Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen
FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection. DASFAA (1) (2020)
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 (2020)
Patrick Ocheja, Yang Cao, Shiyao Ding, Masatoshi Yoshikawa
Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps. CoRR (2020)
Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa
PANDA: Policy-aware Location Privacy for Epidemic Surveillance. CoRR (2020)
Chunmiao Li, Shijie Nie, Yang Cao, Yijun Yu, Zhenjiang Hu
Dynamic Gas Estimation of Loops Using Machine Learning. BlockSys (2020)
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 (2020)
Yaowei Han, Yang Cao, Sheng Li, Qiang Ma, Masatoshi Yoshikawa
Voice-Indistinguishability - Protecting Voiceprint with Differential Privacy under an Untrusted Server. CCS (2020)
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)
Shun Takagi, Yang Cao, Yasuhito Asano, Masatoshi Yoshikawa
Geo-Graph-Indistinguishability: Location Privacy on Road Networks Based on Differential Privacy. CoRR (2020)
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware. IEEE BigData (2020)
Shuaicheng Ma, Yang Cao, Li Xiong
Effcient logging and querying for Blockchain-based cross-site genomic dataset access audit. CoRR (2019)
Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong, Yang Cao
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. CoRR (2019)
Maho Asada, Masatoshi Yoshikawa, Yang Cao
When and where do you want to hide? Recommendation of location privacy preferences with local differential privacy. CoRR (2019)
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) (2019)
Xiaolan Gu, Ming Li, Yang Cao, Li Xiong
Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy. CNS (2019)
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)
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) (2019)
Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. CoRR (2019)
Xiaolan Gu, Ming Li, Li Xiong, Yang Cao
Providing Input-Discriminative Protection for Local Differential Privacy. CoRR (2019)
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
Money Cannot Buy Everything: Trading Infinite Location Data Streams with Bounded Individual Privacy Loss. CoRR (2019)
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) (2019)
Chunmiao Li, Yang Cao, Zhenjiang Hu, Masatoshi Yoshikawa
Blockchain-Based Bidirectional Updates on Fine-Grained Medical Data. ICDE Workshops (2019)
Chunmiao Li, Yang Cao, Zhenjiang Hu, Masatoshi Yoshikawa
Blockchain-based Bidirectional Updates on Fine-grained Medical Data. CoRR (2019)
Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai
PriSTE: From Location Privacy to Spatiotemporal Event Privacy. ICDE (2019)
Shun Takagi, Yang Cao, Yasuhito Asano, Masatoshi Yoshikawa
Geo-Graph-Indistinguishability: Protecting Location Privacy for LBS over Road Networks. DBSec (2019)
Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai
PriSTE: From Location Privacy to Spatiotemporal Event Privacy. CoRR (2018)
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) (2018)
Yonghui Xiao, Li Xiong, Si Zhang, Yang Cao
LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model. Proc. VLDB Endow. 10 (12) (2017)
Rachana Nget, Yang Cao, Masatoshi Yoshikawa
How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market. CoRR (2017)
Rachana Nget, Yang Cao, Masatoshi Yoshikawa
How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market. eCOM@SIGIR (2017)
Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong
Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations. CoRR (2017)
Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong
Quantifying Differential Privacy under Temporal Correlations. ICDE (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yang Cao