Bernhard Alois Moser

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 39

Top Topics

General Conditions

Event Sequences

Domain Adaptation

Top Venues

IEEE Trans. Signal Process.

Publications

Daniel Windhager, Bernhard Alois Moser, Michael Lunglmayr
SNN Architecture for Differential Time Encoding Using Decoupled Processing Time. AICAS (2024)
Hamid Eghbal-zadeh, Werner Zellinger, Maura Pintor, Kathrin Grosse, Khaled Koutini, Bernhard Alois Moser, Battista Biggio, Gerhard Widmer
Rethinking data augmentation for adversarial robustness. Inf. Sci. 654 (2024)
Bernhard Alois Moser, Michael Lunglmayr
Spiking neural networks in the Alexiewicz topology: A new perspective on analysis and error bounds. Neurocomputing 601 (2024)
Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Alois Moser
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent. CoRR (2024)
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach. J. Artif. Intell. Res. 79 (2024)
Bernhard Alois Moser, Michael Lunglmayr
On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals. CoRR (2024)
Bernhard Alois Moser, Michael Lunglmayr
Quantization in Spiking Neural Networks. CoRR (2023)
Bernhard Alois Moser, Michael Lunglmayr
Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on Analysis and Error Bounds. CoRR (2023)
Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. CoRR (2023)
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler
An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning. Algorithms 16 (9) (2023)
Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. ICLR (2023)
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer
Kernel Affine Hull Machines for Differentially Private Learning. CoRR (2023)
Rainer Meindl, Bernhard Alois Moser
Measuring Overhead Costs of Federated Learning Systems by Eavesdropping. DEXA Workshops (2023)
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Comput. Surv. 55 (13s) (2023)
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. CoRR (2022)
Maqbool Khan, Arshad Ahmad, Florian Sobieczky, Mario Pichler, Bernhard Alois Moser, Ivo Bukovsky
A Systematic Mapping Study of Predictive Maintenance in SMEs. IEEE Access 10 (2022)
Bernhard Alois Moser, Michal Lewandowski, Somayeh Kargaran, Werner Zellinger, Battista Biggio, Christoph Koutschan
Tessellation-Filtering ReLU Neural Networks. IJCAI (2022)
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler
Membership-Mappings for Data Representation Learning. CoRR (2021)
Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser
The balancing principle for parameter choice in distance-regularized domain adaptation. NeurIPS (2021)
Werner Zellinger, Bernhard Alois Moser, Susanne Saminger-Platz
On generalization in moment-based domain adaptation. Ann. Math. Artif. Intell. 89 (3-4) (2021)
Werner Zellinger, Bernhard Alois Moser
On the truncated Hausdorff moment problem under Sobolev regularity conditions. Appl. Math. Comput. 400 (2021)
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework. CoRR (2021)
Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler
An optimal (∊, δ)-differentially private learning of distributed deep fuzzy models. Inf. Sci. 546 (2021)
Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard Alois Moser, Gerhard Widmer
On Data Augmentation and Adversarial Risk: An Empirical Analysis. CoRR (2020)
Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler
Differentially Private Learning of Distributed Deep Models. UMAP (Adjunct Publication) (2020)
Werner Zellinger, Bernhard Alois Moser, Susanne Saminger-Platz
Learning Bounds for Moment-Based Domain Adaptation. CoRR (2020)
Mohit Kumar, David Brunner, Bernhard Alois Moser, Bernhard Freudenthaler
Variational Optimization of Informational Privacy. DEXA Workshops (2020)
Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Alois Moser
Domain adaptation for regression under Beer-Lambert's law. Knowl. Based Syst. 210 (2020)
Hamid Eghbal-Zadeh, Lukas Fischer, Niko Popitsch, Florian Kromp, Sabine Taschner-Mandl, Teresa Gerber, Eva Bozsaky, Peter F. Ambros, Inge M. Ambros, Gerhard Widmer, Bernhard Alois Moser
DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data. J. Comput. Biol. 26 (6) (2019)
Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
Robust unsupervised domain adaptation for neural networks via moment alignment. Inf. Sci. 483 (2019)
Bernhard Alois Moser, Michael Lunglmayr
On Quasi-Isometry of Threshold-Based Sampling. IEEE Trans. Signal Process. 67 (14) (2019)
Michael Lunglmayr, Saeed Mian Qaisar, Bernhard Alois Moser
Tradeoff Analysis of Discrepancy-Based Adaptive Thresholding Approach. EBCCSP (2019)
Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler
Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning. DEXA Workshops (2019)
Saeed Mian Qaisar, S. Laskar, Michael Lunglmayr, Bernhard Alois Moser, R. Abdulbaqi, R. Banafia
An Event-Driven Approach for Time-Domain Recognition of Spoken English Letters. EBCCSP (2019)
Hamid Eghbal-zadeh, Lukas Fischer, Niko Popitsch, Florian Kromp, Sabine Taschner-Mandl, Khaled Koutini, Teresa Gerber, Eva Bozsaky, Peter F. Ambros, Inge M. Ambros, Gerhard Widmer, Bernhard Alois Moser
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. CoRR (2018)
Bernhard Alois Moser
Estimating the signal reconstruction error from threshold-based sampling without knowing the original signal. EBCCSP (2017)
Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment. CoRR (2017)
Bernhard Alois Moser
Similarity Recovery From Threshold-Based Sampling Under General Conditions. IEEE Trans. Signal Process. 65 (17) (2017)
Bernhard Alois Moser
On preserving metric properties of integrate-and-fire sampling. EBCCSP (2016)
Bernhard Alois Moser
Stability of threshold-based sampling as metric problem. EBCCSP (2015)
Bernhard Alois Moser
Matching event sequences approach based on Weyl's discrepancy norm. EBCCSP (2015)
Bernhard Alois Moser, Thomas Natschläger
On Stability of Distance Measures for Event Sequences Induced by Level-Crossing Sampling. IEEE Trans. Signal Process. 62 (8) (2014)
Bernhard Alois Moser
The Range of a Simple Random Walk on Z: An Elementary Combinatorial Approach. Electron. J. Comb. 21 (4) (2014)
Bernhard Alois Moser
Geometric Characterization of Weyl's Discrepancy Norm in Terms of Its n-Dimensional Unit Balls. Discret. Comput. Geom. 48 (4) (2012)