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Günther Eibl
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2020 – today
- 2023
- [j15]Günther Eibl
, Jawad Kazmi, Oliver Langthaler, Maximilian Schirl, Stefan Wilker:
Towards interoperable local energy communities in Austria. Elektrotech. Informationstechnik 140(5): 432-440 (2023) - 2022
- [j14]Dejan Radovanovic
How unique is weekly smart meter data? Energy Inform. 5 (2022) - 2021
- [j13]Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum:
Quantifying identifiability to choose and audit epsilon in differentially private deep learning. Proc. VLDB Endow. 14(13): 3335-3347 (2021) - [c13]Clemens Brunner, Günther Eibl
Who Stores the Private Key? An Exploratory Study about User Preferences of Key Management for Blockchain-based Applications. ICISSP 2021: 23-32 - [i3]Günther Eibl, Sanaz Taheri Boshrooyeh, Alptekin Küpçü:
AggFT: Low-Cost Fault-Tolerant Smart Meter Aggregation with Proven Termination and Privacy. CoRR abs/2102.09429 (2021) - [i2]Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum:
Quantifying identifiability to choose and audit ε in differentially private deep learning. CoRR abs/2103.02913 (2021) - 2020
- [j12]Michael Egger, Günther Eibl
Comparison of approaches for intrusion detection in substations using the IEC 60870-5-104 protocol. Energy Inform. 3(S1) (2020)
2010 – 2019
- 2019
- [j11]Cornelia Ferner, Günther Eibl, Andreas Unterweger, Sebastian Burkhart
Pool detection from smart metering data with convolutional neural networks. Energy Inform. 2(S1) (2019) - [j10]Andreas Unterweger
Understanding Game-Based Privacy Proofs for Energy Consumption Aggregation Protocols. IEEE Trans. Smart Grid 10(5): 5514-5523 (2019) - 2018
- [j9]Günther Eibl
The influence of differential privacy on short term electric load forecasting. Energy Inform. 1(S1) (2018) - [j8]Fabian Knirsch
Error-Resilient Masking Approaches for Privacy Preserving Data Aggregation. IEEE Trans. Smart Grid 9(4): 3351-3361 (2018) - [c12]Günther Eibl
Insights into Unsupervised Holiday Detection from Low-Resolution Smart Metering Data. ICISSP (Revised Selected Papers) 2018: 281-302 - [c11]Günther Eibl
Unsupervised Holiday Detection from Low-resolution Smart Metering Data. ICISSP 2018: 477-486 - [c10]Sebastian Burkhart
Detecting Swimming Pools in 15-Minute Load Data. TrustCom/BigDataSE 2018: 1651-1655 - [i1]Günther Eibl, Kaibin Bao, Philip-William Grassal, Daniel Bernau, Hartmut Schmeck:
The Influence of Differential Privacy on Short Term Electric Load Forecasting. CoRR abs/1807.02361 (2018) - 2017
- [j7]Fabian Knirsch, Günther Eibl, Dominik Engel
Multi-resolution privacy-enhancing technologies for smart metering. EURASIP J. Inf. Secur. 2017: 6 (2017) - [j6]Günther Eibl
Differential privacy for real smart metering data. Comput. Sci. Res. Dev. 32(1-2): 173-182 (2017) - [j5]Dominik Engel
Wavelet-Based Multiresolution Smart Meter Privacy. IEEE Trans. Smart Grid 8(4): 1710-1721 (2017) - [c9]Kristof Böhmer, Florian Stertz, Tobias Hildebrandt, Stefanie Rinderle-Ma, Günther Eibl, Cornelia Ferner, Sebastian Burkhart, Dominik Engel:
Application and Testing of Business Processes in the Energy Domain. BTW (Workshops) 2017: 25-32 - [c8]Günther Eibl, Cornelia Ferner, Tobias Hildebrandt, Florian Stertz, Sebastian Burkhart, Stefanie Rinderle-Ma, Dominik Engel:
Exploration of the Potential of Process Mining for Intrusion Detection in Smart Metering. ICISSP 2017: 38-46 - 2016
- [j4]Andreas Unterweger, Fabian Knirsch, Günther Eibl
Privacy-preserving load profile matching for tariff decisions in smart grids. EURASIP J. Inf. Secur. 2016: 21 (2016) - [j3]Christian Neureiter, Günther Eibl
A concept for engineering smart grid security requirements based on SGAM models. Comput. Sci. Res. Dev. 31(1-2): 65-71 (2016) - 2015
- [j2]Günther Eibl
Influence of Data Granularity on Smart Meter Privacy. IEEE Trans. Smart Grid 6(2): 930-939 (2015) - [c7]Günther Eibl, Dominik Engel, Christian Neureiter:
Privacy-relevant smart metering use cases. ICIT 2015: 1387-1392 - 2014
- [c6]Günther Eibl
Influence of data granularity on nonintrusive appliance load monitoring. IH&MMSec 2014: 147-151 - 2013
- [c5]Christian Neureiter, Günther Eibl
Towards a framework for engineering smart-grid-specific privacy requirements. IECON 2013: 4803-4808 - [c4]Dominik Engel
Multi-resolution load curve representation with privacy-preserving aggregation. ISGT Europe 2013: 1-5
2000 – 2009
- 2008
- [c3]Günther Eibl
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes. ICPR 2008: 1-4 - 2005
- [j1]Günther Eibl, Karl Peter Pfeiffer:
Multiclass Boosting for Weak Classifiers. J. Mach. Learn. Res. 6: 189-210 (2005) - 2002
- [c2]Günther Eibl, Karl Peter Pfeiffer:
How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code. ECML 2002: 72-83 - 2001
- [c1]Günther Eibl, Karl Peter Pfeiffer:
Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example. ECML 2001: 109-120
Coauthor Index
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