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Detektion, Quantifikation und Mitigation von Robustheitsanfälligkeiten in Tiefen Neuronalen Netzen.. University of Erlangen-Nuremberg, Germany, (2023)CLIP: Cheap Lipschitz Training of Neural Networks., , , , and . SSVM, volume 12679 of Lecture Notes in Computer Science, page 307-319. Springer, (2021)System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data., , , , , , , , , and 1 other author(s). IEEE Access, (2021)Exploring misclassifications of robust neural networks to enhance adversarial attacks., , , , and . Appl. Intell., 53 (17): 19843-19859 (September 2023)Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks., , , , , , and . IJCNN, page 1-8. IEEE, (2023)Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks., , , , , , and . IJCNN, page 1-8. IEEE, (2021)A Unified Approach Towards Active Learning and Out-of-Distribution Detection., , , and . CoRR, (2024)Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors., , , , , , and . CoRR, (2023)Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring., , , , , and . ICPM Workshops, volume 406 of Lecture Notes in Business Information Processing, page 112-123. Springer, (2020)Adversarial Attacks and Defenses in Large Language Models: Old and New Threats., , , and . ICBINB, volume 239 of Proceedings of Machine Learning Research, page 103-117. PMLR, (2023)