DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks

A Boutet, C Frindel, S Gambs, T Jourdan… - Proceedings of the …, 2021 - dl.acm.org
With the widespread development of the quantified-self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones …
被引用次数：30 相关文章

DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks

A Boutet, C Frindel, S Gambs, T Jourdan… - ACM ASIACCS 2021 …, 2021 - hal.science
With the widespread development of the quantified-self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones …

DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks

CR Ngueveu, A Boutet, C Frindel, S Gambs… - arXiv preprint arXiv …, 2020 - arxiv.org
With the widespread adoption of the quantified self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones …
[PDF] qcloudimg.com

[PDF][PDF] DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks

A Boutet, C Frindel, S Gambs, T Jourdan… - arXiv preprint arXiv …, 2020 - ask.qcloudimg.com
With the widespread adoption of the quantified self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones …

DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks

A Boutet, C Frindel, S Gambs… - … 2021-16th ACM …, 2021 - univ-lyon1.hal.science
With the widespread development of the quantified-self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones …
[PDF] archive.org

[PDF][PDF] DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks

A Boutet, C Frindel, S Gambs, T Jourdan, RC Ngueveu - 2020 - scholar.archive.org
With the widespread adoption of the quantified self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones …

DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks

A Boutet, C Frindel, S Gambs, T Jourdan… - ACM ASIACCS 2021 …, 2021 - inria.hal.science
With the widespread development of the quantified-self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones …

DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks

A Boutet, C Frindel, S Gambs, T Jourdan… - ACM ASIACCS 2021 …, 2021 - cnrs.hal.science
With the widespread development of the quantified-self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones …

DySan: Dynamically Sanitizing Motion Sensor Data against Sensitive Inferences through Adversarial Networks

A Boutet, C Frindel, S Gambs… - 16th ACM Asia …, 2021 - tohoku.elsevierpure.com
With the widespread development of the quantified-self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones …