Group-wise Sparse and Explainable Adversarial Attacks

1 code implementation • 29 Nov 2023 • Shpresim Sadiku, Moritz Wagner, Sebastian Pokutta

However, crafting such attacks poses an optimization challenge, as it involves computing norms for groups of pixels within a non-convex objective.

Deep Semi-Supervised Learning for Time Series Classification

1 code implementation • 6 Feb 2021 • Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl

Based on these adaptations, we explore the potential of deep semi-supervised learning in the context of time series classification by evaluating our methods on large public time series classification problems with varying amounts of labelled samples.

Classification Data Augmentation +4