Julia Lust
According to our database1,
Julia Lust
authored at least 4 papers
between 2020 and 2023.
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Bibliography
2023
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Efficient detection of adversarial, out-of-distribution and other misclassified samples.
Neurocomputing, 2022
2020
A Survey on Assessing the Generalization Envelope of Deep Neural Networks at Inference Time for Image Classification.
CoRR, 2020
GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020