Masatoshi Yoshikawa

ORCID

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 145

Top Venues

CoRR

IEICE Trans. Inf. Syst.

Proc. VLDB Endow.

DBSec

Publications

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)
Adam Jatowt, Mari Sato, Simon Draxl, Yijun Duan, Ricardo Campos, Masatoshi Yoshikawa
Is this news article still relevant? Ranking by contemporary relevance in archival search. Int. J. Digit. Libr. 25 (2) (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, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy. CoRR (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)
Xiaoyu Li, Yang Cao, Masatoshi Yoshikawa
Locally Private Streaming Data Release with Shuffling and Subsampling. ICDEW (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)
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai
BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information. SIGIR (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)
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)
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)
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)
Hideaki Ohashi, Toshiyuki Shimizu, Masatoshi Yoshikawa
Does Student-Submission Allocation Affect Peer Assessment Accuracy? IEICE Trans. Inf. Syst. (5) (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)
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa
ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections. SIGIR (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)
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa
TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information. 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. Proc. VLDB Endow. 15 (9) (2022)
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
Secure Shapley Value for Cross-Silo Federated Learning. CoRR (2022)
Yijun Duan, Adam Jatowt, Masatoshi Yoshikawa, Xin Liu, Akiyoshi Matono
Diachronic Linguistic Periodization of Temporal Document Collections for Discovering Evolutionary Word Semantics. ICADL (2021)
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
Incentive Mechanism for Privacy-Preserving Federated Learning. CoRR (2021)
Mari Sato, Adam Jatowt, Yijun Duan, Ricardo Campos, Masatoshi Yoshikawa
Estimating Contemporary Relevance of Past News. JCDL (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)
Yiling Dai, Masatoshi Yoshikawa, Kazunari Sugiyama
Prerequisite-aware course ordering towards getting relevant job opportunities. Expert Syst. Appl. 183 (2021)
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Preventing Manipulation Attack in Local Differential Privacy Using Verifiable Randomization Mechanism. DBSec (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)
Yi Yu, Adam Jatowt, Antoine Doucet, Kazunari Sugiyama, Masatoshi Yoshikawa
Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries. ACL/IJCNLP (1) (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)
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa
ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections. CoRR (2021)
Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
Improving question answering for event-focused questions in temporal collections of news articles. Inf. Retr. J. 24 (1) (2021)
Adam Jatowt, I-Chen Hung, Michael Färber, Ricardo Campos, Masatoshi Yoshikawa
Exploding TV Sets and Disappointing Laptops: Suggesting Interesting Content in News Archives Based on Surprise Estimation. ECIR (1) (2021)
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa
Event Occurrence Date Estimation based on Multivariate Time Series Analysis over Temporal Document Collections. SIGIR (2021)
Yaowei Han, Sheng Li, Yang Cao, Qiang Ma, Masatoshi Yoshikawa
Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release. CoRR (2020)
Yiling Dai, Masatoshi Yoshikawa, Yasuhito Asano
Estimating Knowledge Category Coverage by Courses Based on Centrality in Taxonomy. IEICE Trans. Inf. Syst. (5) (2020)
Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection. CoRR (2020)
Yijun Duan, Adam Jatowt, Masatoshi Yoshikawa
Comparative Timeline Summarization via Dynamic Affinity-Preserving Random Walk. ECAI (2020)
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware. CoRR (2020)
Yuki Otsuka, Makoto P. Kato, Sumio Fujita, Masatoshi Yoshikawa
Cross-Domain Rating Prediction for Market Development. WI/IAT (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)
Suppanut Pothirattanachaikul, Takehiro Yamamoto, Yusuke Yamamoto, Masatoshi Yoshikawa
Analyzing the Effects of. HT (2020)
Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
Answering Event-Related Questions over Long-Term News Article Archives. ECIR (1) (2020)
Youichi Ishida, Toshiyuki Shimizu, Masatoshi Yoshikawa
An analysis and comparison of keyword recommendation methods for scientific data. Int. J. Digit. Libr. 21 (3) (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)
Peng Chen, Adam Jatowt, Masatoshi Yoshikawa
Conflict or cooperation?: predicting future tendency of international relations. SAC (2020)
Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa
PANDA: Policy-aware Location Privacy for Epidemic Surveillance. CoRR (2020)
Yaowei Han, Yang Cao, Sheng Li, Qiang Ma, Masatoshi Yoshikawa
Voice-Indistinguishability - Protecting Voiceprint with Differential Privacy under an Untrusted Server. CCS (2020)
Toshiyuki Shimizu, Joji Kido, Masatoshi Yoshikawa
Keyword Recommendation Methods for Earth Science Data Considering Hierarchical Structure of Vocabularies. JCDL (2020)
Shota Ashida, Adam Jatowt, Antoine Doucet, Masatoshi Yoshikawa
Determining image age with rank-consistent ordinal classification and object-centered ensemble. MMAsia (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)
Yuuri Sakai, Yasuhito Asano, Masatoshi Yoshikawa
Schedule for Detour-Type Demand Bus with Regular Usage Data. DEXA (1) (2020)
Yasuhito Asano, Zhenjiang Hu, Yasunori Ishihara, Makoto Onizuka, Masato Takeichi, Masatoshi Yoshikawa
Data Integration Models and Architectures for Service Alliances. SFDI/LSGDA@VLDB (2020)
Hideaki Ohashi, Yasuhito Asano, Toshiyuki Shimizu, Masatoshi Yoshikawa
Adaptive Balanced Allocation for Peer Assessments. IEICE Trans. Inf. Syst. (5) (2020)
Sora Lim, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing. LREC (2020)
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware. IEEE BigData (2020)
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)
Yijun Duan, Adam Jatowt, Sourav S. Bhowmick, Masatoshi Yoshikawa
Typicality-Based Across-Time Mapping of Entity Sets in Document Archives. DASFAA (1) (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)
Suppanut Pothirattanachaikul, Takehiro Yamamoto, Yusuke Yamamoto, Masatoshi Yoshikawa
Analyzing the Effects of Document's Opinion and Credibility on Search Behaviors and Belief Dynamics. CIKM (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)
Yijun Duan, Adam Jatowt, Sourav S. Bhowmick, Masatoshi Yoshikawa
Mapping Entity Sets in News Archives Across Time. Data Sci. Eng. 4 (3) (2019)
Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. 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)
Wiradee Imrattanatrai, Makoto P. Kato, Masatoshi Yoshikawa
Identifying Entity Properties from Text with Zero-shot Learning. SIGIR (2019)
Chunmiao Li, Yang Cao, Zhenjiang Hu, Masatoshi Yoshikawa
Blockchain-based Bidirectional Updates on Fine-grained Medical Data. CoRR (2019)
Toshiyuki Shimizu, Hiroki Omori, Masatoshi Yoshikawa
Toward a view-based data cleaning architecture. CoRR (2019)
Hideaki Ohashi, Yasuhito Asano, Toshiyuki Shimizu, Masatoshi Yoshikawa
Give and Take: Adaptive Balanced Allocation for Peer Assessments. COCOON (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Masatoshi Yoshikawa