Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example. - Günther Eibl; Karl Peter Pfeiffer (ECML, 2001)

How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code. - Günther Eibl; Karl Peter Pfeiffer (ECML, 2002)

Multiclass Boosting for Weak Classifiers. - Günther Eibl; Karl Peter Pfeiffer (J. Mach. Learn. Res., 2005)

Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes. - Günther Eibl; Norbert Brändle (ICPR, 2008)

Towards a framework for engineering smart-grid-specific privacy requirements. - Christian Neureiter; Günther Eibl; Armin Veichtlbauer; Dominik Engel (IECON, 2013)

Multi-resolution load curve representation with privacy-preserving aggregation. - Dominik Engel; Günther Eibl (ISGT Europe, 2013)

Influence of data granularity on nonintrusive appliance load monitoring. - Günther Eibl; Dominik Engel (IH&MMSec, 2014)

Privacy-relevant smart metering use cases. - Günther Eibl; Dominik Engel; Christian Neureiter (ICIT, 2015)

Influence of Data Granularity on Smart Meter Privacy. - Günther Eibl; Dominik Engel (IEEE Trans. Smart Grid, 2015)

Privacy-preserving load profile matching for tariff decisions in smart grids. - Andreas Unterweger; Fabian Knirsch; Günther Eibl; Dominik Engel (EURASIP J. Inf. Secur., 2016)

A concept for engineering smart grid security requirements based on SGAM models. - Christian Neureiter; Günther Eibl; Dominik Engel; Stefanie Schlegel; Mathias Uslar (Comput. Sci. Res. Dev., 2016)

Application and Testing of Business Processes in the Energy Domain. - Kristof Böhmer; Florian Stertz; Tobias Hildebrandt; Stefanie Rinderle-Ma; Günther Eibl; Cornelia Ferner; Sebastian Burkhart; Dominik Engel (BTW (Workshops), 2017)

Exploration of the Potential of Process Mining for Intrusion Detection in Smart Metering. - Günther Eibl; Cornelia Ferner; Tobias Hildebrandt; Florian Stertz; Sebastian Burkhart; Stefanie Rinderle-Ma; Dominik Engel (ICISSP, 2017)

Multi-resolution privacy-enhancing technologies for smart metering. - Fabian Knirsch; Günther Eibl; Dominik Engel (EURASIP J. Inf. Secur., 2017)

Differential privacy for real smart metering data. - Günther Eibl; Dominik Engel (Comput. Sci. Res. Dev., 2017)

Wavelet-Based Multiresolution Smart Meter Privacy. - Dominik Engel; Günther Eibl (IEEE Trans. Smart Grid, 2017)

Unsupervised Holiday Detection from Low-resolution Smart Metering Data. - Günther Eibl; Sebastian Burkhart; Dominik Engel (ICISSP, 2018)

Insights into Unsupervised Holiday Detection from Low-Resolution Smart Metering Data. - Günther Eibl; Sebastian Burkhart; Dominik Engel (ICISSP (Revised Selected Papers), 2018)

Detecting Swimming Pools in 15-Minute Load Data. - Sebastian Burkhart; Andreas Unterweger; Günther Eibl; Dominik Engel (TrustCom/BigDataSE, 2018)

The influence of differential privacy on short term electric load forecasting. - Günther Eibl; Kaibin Bao; Philip-William Grassal; Daniel Bernau; Hartmut Schmeck (Energy Inform., 2018)

Error-Resilient Masking Approaches for Privacy Preserving Data Aggregation. - Fabian Knirsch; Günther Eibl; Dominik Engel (IEEE Trans. Smart Grid, 2018)

Pool detection from smart metering data with convolutional neural networks. - Cornelia Ferner; Günther Eibl; Andreas Unterweger; Sebastian Burkhart; Stefan Wegenkittl (Energy Inform., 2019)

Understanding Game-Based Privacy Proofs for Energy Consumption Aggregation Protocols. - Andreas Unterweger; Sanaz Taheri Boshrooyeh; Günther Eibl; Fabian Knirsch; Alptekin Küpçü; Dominik Engel (IEEE Trans. Smart Grid, 2019)

Comparison of approaches for intrusion detection in substations using the IEC 60870-5-104 protocol. - Michael Egger; Günther Eibl; Dominik Engel (Energy Inform., 2020)

Who Stores the Private Key? An Exploratory Study about User Preferences of Key Management for Blockchain-based Applications. - Clemens Brunner 002; Günther Eibl; Peter Fröhlich 003; Andreas Sackl; Dominik Engel (ICISSP, 2021)

AggFT: Low-Cost Fault-Tolerant Smart Meter Aggregation with Proven Termination and Privacy. - Günther Eibl; Sanaz Taheri Boshrooyeh; Alptekin Küpçü (CoRR, 2021)

Quantifying identifiability to choose and audit ε in differentially private deep learning. - Daniel Bernau; Günther Eibl; Philip-William Grassal; Hannah Keller; Florian Kerschbaum (CoRR, 2021)

Quantifying identifiability to choose and audit epsilon in differentially private deep learning. - Daniel Bernau; Günther Eibl; Philip-William Grassal; Hannah Keller; Florian Kerschbaum (Proc. VLDB Endow., 2021)

How unique is weekly smart meter data? - Dejan Radovanovic; Andreas Unterweger; Günther Eibl; Dominik Engel; Johannes Reichl (Energy Inform., 2022)

Towards interoperable local energy communities in Austria. - Günther Eibl; Jawad Kazmi; Oliver Langthaler; Maximilian Schirl; Stefan Wilker (Elektrotech. Informationstechnik, 2023)

Evaluating the Efficacy of LINDDUN GO for Privacy Threat Modeling for Local Renewable Energy Communities. - Oliver Langthaler; Günther Eibl; Lars-Kevin Klüver; Andreas Unterweger (ICISSP (2), 2025)

Predicting Socio-Demographic Characteristics from Load Profiles with Varying Time Granularities. - Dejan Radovanovic; Maximilian Schirl; Andreas Unterweger; Günther Eibl (SMARTGREENS, 2025)