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20162022
most citedQuantifying Differential Privacy under Temporal Correlations

111 citations · 400 across the 24 of their papers we have counts for

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Showing cs.CRShow all

6 papers · 1 filter

cs.CR2021

Asymmetric Differential Privacy

Shun Takagi, Yang Cao, Masatoshi Yoshikawa

Differential privacy (DP) is getting attention as a privacy definition when publishing statistics of a dataset. This paper focuses on the limitation that DP inevitably causes two-s…

cs.CR2020

Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware

Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa

The COVID-19 pandemic has prompted technological measures to control the spread of the disease. Private contact tracing (PCT) is one of the promising techniques for the purpose. Ho…

cs.CR2020★ 2 cited

Geo-Graph-Indistinguishability: Location Privacy on Road Networks Based on Differential Privacy

Shun Takagi, Yang Cao, Yasuhito Asano +1

In recent years, concerns about location privacy are increasing with the spread of location-based services (LBSs). Many methods to protect location privacy have been proposed in th…

cs.CR2020★ 3 cited

PGLP: Customizable and Rigorous Location Privacy through Policy Graph

Yang Cao, Yonghui Xiao, Shun Takagi +6

Location privacy has been extensively studied in the literature. However, existing location privacy models are either not rigorous or not customizable, which limits the trade-off b…

cs.CR2020★ 6 cited

Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release

Yaowei Han, Sheng Li, Yang Cao +2

With the development of smart devices, such as the Amazon Echo and Apple's HomePod, speech data have become a new dimension of big data. However, privacy and security concerns may…

cs.CR2019

Trading Location Data with Bounded Personalized Privacy Loss

Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa

As personal data have been the new oil of the digital era, there is a growing trend perceiving personal data as a commodity. Although some people are willing to trade their persona…