Masatoshi Yoshikawa

发表

HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data

Seng Pei Liew, Yang Cao, Fumiyuki Kato, 2022, Proc. VLDB Endow..

FL-Market: Trading Private Models in Federated Learning

Yang Cao, Masatoshi Yoshikawa, Shuyuan Zheng, 2021, 2106.04384.

A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy

Takao Murakami, Shang Liu, Yang Cao, 2022, 2209.02231.

OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment

Yang Cao, Fumiyuki Kato, Masatoshi Yoshikawa, 2022, ArXiv.

Local Differential Privacy Image Generation Using Flow-based Deep Generative Models

S. Hanaoka, Y. Nomura, Naoto Hayashi, 2022, ArXiv.

Secure Shapley Value for Cross-Silo Federated Learning

Yang Cao, Masatoshi Yoshikawa, Shuyuan Zheng, 2022, ArXiv.

FL-Market: Trading Private Models in Federated Learning

Yang Cao, Masatoshi Yoshikawa, Shuyuan Zheng, 2021, 2022 IEEE International Conference on Big Data (Big Data).

Secure Shapley Value for Cross-Silo Federated Learning

Yang Cao, Masatoshi Yoshikawa, Shuyuan Zheng, 2022, ArXiv.

Incentive Mechanism for Privacy-Preserving Federated Learning pdf

Yang Cao, Shuyuan Zheng, Masatoshi Yoshikawa, 2021, ArXiv.

Bidirectional Collaborative Frameworks for Decentralized Data Management

Zhenjiang Hu, M. Takeichi, Yasuhito Asano, 2022, Communications in Computer and Information Science.

Preventing Manipulation Attack in Local Differential Privacy using Verifiable Randomization Mechanism

Yang Cao, Fumiyuki Kato, Masatoshi Yoshikawa, 2021, DBSec.

OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsification

Yang Cao, Fumiyuki Kato, Masatoshi Yoshikawa, 2022, 2202.07165.

Secure Shapley Value for Cross-Silo Federated Learning

Yang Cao, Masatoshi Yoshikawa, Shuyuan Zheng, 2022, Proc. VLDB Endow..

A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy

Takao Murakami, Shang Liu, Yang Cao, 2022, 2022 IEEE International Conference on Big Data (Big Data).

ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy

Li Xiong, Yang Cao, Fumiyuki Kato, 2023, ArXiv.

Blockchain-Empowered Contact Tracing for COVID-19 Using Crypto-Spatiotemporal Information

Yutaka Katsuyama, Yang Cao, Min Luo, 2021, 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM).

Network Shuffling: Privacy Amplification via Random Walks

Seng Pei Liew, Yang Cao, Fumiyuki Kato, 2022, SIGMOD Conference.

General or Specific? Investigating Effective Privacy Protection in Federated Learning for Speech Emotion Recognition

Sheng Li, Yang Cao, Masatoshi Yoshikawa, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification

Yang Cao, Fumiyuki Kato, Masatoshi Yoshikawa, 2022, Proc. VLDB Endow..

CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers

Yang Cao, Masatoshi Yoshikawa, Shang Liu, 2023, ArXiv.

Understanding the Interplay between Privacy and Robustness in Federated Learning pdf

Yaowei Han, Masatoshi Yoshikawa, Yang Cao, 2021, ArXiv.

OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment

Yang Cao, Fumiyuki Kato, Masatoshi Yoshikawa, 2022, ArXiv.

PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms

Masatoshi Yoshikawa, Shang Liu, Jinfei Liu, 2024, 2408.02928.

HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization

Yang Cao, Fumiyuki Kato, Shun Takagi, 2024, Proc. VLDB Endow..