130 citations · 370 across the 36 of their papers we have counts for
5 papers · 1 filter
PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
Existing Bluetooth-based Private Contact Tracing (PCT) systems can privately detect whether people have come into direct contact with COVID-19 patients. However, we find that the e…
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…
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…
FLAME: Differentially Private Federated Learning in the Shuffle Model
Ruixuan Liu, Yang Cao, Hong Chen +2
Federated Learning (FL) is a promising machine learning paradigm that enables the analyzer to train a model without collecting users' raw data. To ensure users' privacy, differenti…
Self-Supervised Tuning for Few-Shot Segmentation
Kai Zhu, Wei Zhai, Zheng-Jun Zha +1
Few-shot segmentation aims at assigning a category label to each image pixel with few annotated samples. It is a challenging task since the dense prediction can only be achieved un…