GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples. - Julia Lust; Alexandru Paul Condurache (ESANN, 2020)

A Survey on Assessing the Generalization Envelope of Deep Neural Networks at Inference Time for Image Classification. - Julia Lust; Alexandru Paul Condurache (CoRR, 2020)

Efficient detection of adversarial, out-of-distribution and other misclassified samples. - Julia Lust; Alexandru Paul Condurache (Neurocomputing, 2022)

GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations. - Julia Lust; Alexandru Paul Condurache (IJCNN, 2023)