( en | de | ru )

 

Disambiguation of "Moser, Bernhard A."

Author of the publication

copydeleteadd this publication to your clipboard
Rethinking data augmentation for adversarial robustness

, , , , , , , and . Information Sciences, (2024)
DOI: https://doi.org/10.1016/j.ins.2023.119838

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Bernhard Moser

Bernhard Moser

Bernhard Moser

Bernhard Moser

Michael A Moser

 

Other publications of authors with the same name

Robust unsupervised domain adaptation for neural networks via moment alignment, , , , , and . Information Sciences, (May 2019)On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach, , and . J. Artif. Int. Res., (Feb 11, 2024)SNN Architecture for Differential Time Encoding Using Decoupled Processing Time, , and . (2023)On generalization in moment-based domain adaptation, , and . Annals of Mathematics and Artificial Intelligence, 89 (3): 333--369 (Mar 1, 2021)An optimal $łess$mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si17.svg"$\greater$$łess$mml:mrow$\greater$$łess$mml:mo stretchy="true"$\greater$($łess$/mml:mo$\greater$$łess$mml:mi$\greater$∊$łess$/mml:mi$\greater$$łess$mml:mo$\greater$,$łess$/mml:mo$\greater$$łess$mml:mi$\greater$$\updelta$$łess$/mml:mi$\greater$$łess$mml:mo stretchy="true"$\greater$)$łess$/mml:mo$\greater$$łess$/mml:mrow$\greater$$łess$/mml:math$\greater$-differentially private learning of distributed deep fuzzy models, , , and . Information Sciences, (February 2021)On generalization in moment-based domain adaptation, , and . Annals of Mathematics and Artificial Intelligence, 89 (3-4): 333--369 (November 2020)On Mitigating the Utility-Loss in Differentially Private Learning: A new Perspective by a Geometrically Inspired Kernel Approach, , and . (2023)cite arxiv:2304.01300.An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning, , , and . Algorithms, 16 (9): 450 (September 2023)Rethinking data augmentation for adversarial robustness, , , , , , , and . Information Sciences, (2024)On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals, and . (2024)