Günther Eibl

Orcid: 0000-0001-9570-5246

According to our database1, Günther Eibl authored at least 30 papers between 2001 and 2023.

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Bibliography

2023
Towards interoperable local energy communities in Austria.
Elektrotech. Informationstechnik, August, 2023

2022
How unique is weekly smart meter data?
Energy Inform., 2022

2021
Quantifying identifiability to choose and audit epsilon in differentially private deep learning.
Proc. VLDB Endow., 2021

Quantifying identifiability to choose and audit ε in differentially private deep learning.
CoRR, 2021

AggFT: Low-Cost Fault-Tolerant Smart Meter Aggregation with Proven Termination and Privacy.
CoRR, 2021

Who Stores the Private Key? An Exploratory Study about User Preferences of Key Management for Blockchain-based Applications.
Proceedings of the 7th International Conference on Information Systems Security and Privacy, 2021

2020
Comparison of approaches for intrusion detection in substations using the IEC 60870-5-104 protocol.
Energy Inform., 2020

2019
Understanding Game-Based Privacy Proofs for Energy Consumption Aggregation Protocols.
IEEE Trans. Smart Grid, 2019

Pool detection from smart metering data with convolutional neural networks.
Energy Inform., 2019

2018
Error-Resilient Masking Approaches for Privacy Preserving Data Aggregation.
IEEE Trans. Smart Grid, 2018

The influence of differential privacy on short term electric load forecasting.
Energy Inform., 2018

Detecting Swimming Pools in 15-Minute Load Data.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Insights into Unsupervised Holiday Detection from Low-Resolution Smart Metering Data.
Proceedings of the Information Systems Security and Privacy - 4th International Conference, 2018

Unsupervised Holiday Detection from Low-resolution Smart Metering Data.
Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

2017
Wavelet-Based Multiresolution Smart Meter Privacy.
IEEE Trans. Smart Grid, 2017

Differential privacy for real smart metering data.
Comput. Sci. Res. Dev., 2017

Multi-resolution privacy-enhancing technologies for smart metering.
EURASIP J. Inf. Secur., 2017

Exploration of the Potential of Process Mining for Intrusion Detection in Smart Metering.
Proceedings of the 3rd International Conference on Information Systems Security and Privacy, 2017

Application and Testing of Business Processes in the Energy Domain.
Proceedings of the Datenbanksysteme für Business, 2017

2016
A concept for engineering smart grid security requirements based on SGAM models.
Comput. Sci. Res. Dev., 2016

Privacy-preserving load profile matching for tariff decisions in smart grids.
EURASIP J. Inf. Secur., 2016

2015
Influence of Data Granularity on Smart Meter Privacy.
IEEE Trans. Smart Grid, 2015

Privacy-relevant smart metering use cases.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

2014
Influence of data granularity on nonintrusive appliance load monitoring.
Proceedings of the ACM Information Hiding and Multimedia Security Workshop, 2014

2013
Multi-resolution load curve representation with privacy-preserving aggregation.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

Towards a framework for engineering smart-grid-specific privacy requirements.
Proceedings of the IECON 2013, 2013

2008
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2005
Multiclass Boosting for Weak Classifiers.
J. Mach. Learn. Res., 2005

2002
How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code.
Proceedings of the Machine Learning: ECML 2002, 2002

2001
Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example.
Proceedings of the Machine Learning: EMCL 2001, 2001


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