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Julia Lust
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 6
Top Topics
Random Samples
Image Classification
Belief Nets
Neural Network
Top Venues
CoRR
ESANN
IJCNN
Neurocomputing
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Publications
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Julia Lust
,
Alexandru Paul Condurache
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations.
CoRR
(2023)
Julia Lust
,
Alexandru Paul Condurache
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations.
IJCNN
(2023)
Julia Lust
,
Alexandru Paul Condurache
Efficient detection of adversarial, out-of-distribution and other misclassified samples.
Neurocomputing
470 (2022)
Julia Lust
,
Alexandru Paul Condurache
A Survey on Assessing the Generalization Envelope of Deep Neural Networks at Inference Time for Image Classification.
CoRR
(2020)
Julia Lust
,
Alexandru Paul Condurache
GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples.
CoRR
(2020)
Julia Lust
,
Alexandru Paul Condurache
GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples.
ESANN
(2020)