Privacy-Preserving Machine Learning for Time Series Data: PhD forum abstract

Franz Papst

doi:https://doi.org/10.1145/3384419.3430566

Privacy-Preserving Machine Learning for Time Series Data: PhD forum abstract

Franz Papst^*

^*Corresponding author for this work

Institute of Technical Informatics (4480)

Research output: Contribution to conference › Abstract › peer-review

Abstract

Machine learning has a lot of potential when applied to time series sensor data, yet a lot of this potential is currently not utilized, due to privacy concerns of parties in charge of this data. In this work I want to apply privacy-preserving techniques to machine learning for time series data, in order to unleash the dormant potential of this type of data.

Original language	English
Pages	813-814
Number of pages	2
DOIs	https://doi.org/10.1145/3384419.3430566
Publication status	Published - 16 Nov 2020
Event	18th ACM Conference on Embedded Networked Sensor Systems: SenSys 2020 - Online, Virtual, Yokohama, Japan Duration: 16 Nov 2020 → 19 Nov 2020 http://sensys.acm.org/2020/ http://sensys.acm.org/2020/index.html

Conference

Conference	18th ACM Conference on Embedded Networked Sensor Systems
Abbreviated title	SenSys
Country/Territory	Japan
City	Virtual, Yokohama
Period	16/11/20 → 19/11/20
Internet address	http://sensys.acm.org/2020/ http://sensys.acm.org/2020/index.html

Keywords

privacy preserving machine learning
sensor data
time series data

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Computer Networks and Communications

Access to Document

https://doi.org/10.1145/3384419.3430566

Cite this

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abstract = "Machine learning has a lot of potential when applied to time series sensor data, yet a lot of this potential is currently not utilized, due to privacy concerns of parties in charge of this data. In this work I want to apply privacy-preserving techniques to machine learning for time series data, in order to unleash the dormant potential of this type of data.",

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Privacy-Preserving Machine Learning for Time Series Data: PhD forum abstract

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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PhD Forum Abstract: Privacy-Preserving Machine Learning for Time Series Data

Cite this

Privacy-Preserving Machine Learning for Time Series Data: PhD forum abstract

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Activities

PhD Forum Abstract: Privacy-Preserving Machine Learning for Time Series Data

Cite this