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Masatoshi Yoshikawa

Extracting Spatiotemporal Data from Gradients with Large Language Models

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Oct 21, 2024
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HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization

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May 13, 2024
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ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy

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Aug 23, 2023
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Local Differential Privacy Image Generation Using Flow-based Deep Generative Models

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Dec 20, 2022
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TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information

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Apr 27, 2022
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Network Shuffling: Privacy Amplification via Random Walks

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Apr 08, 2022
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OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment

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Feb 16, 2022
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ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections

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Sep 09, 2021
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Understanding the Interplay between Privacy and Robustness in Federated Learning

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Jun 13, 2021
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Incentive Mechanism for Privacy-Preserving Federated Learning

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Jun 08, 2021
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