8 citations
3 papers
cs.LG2019★ 2 cited
Recovering Localized Adversarial Attacks
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
Deep convolutional neural networks have achieved great successes over recent years, particularly in the domain of computer vision. They are fast, convenient, and -- thanks to matur…
cs.CE2019★ 2 cited
Exploring the fitness landscape of a realistic turbofan rotor blade optimization
Jakub Kmec, Sebastian Schmitt
Aerodynamic shape optimization has established itself as a valuable tool in the engineering design process to achieve highly efficient results. A central aspect for such approaches…
cs.NI2019★ 8 cited
Limits and trade-offs of topological network robustness
Christopher Priester, Sebastian Schmitt, Tiago P. Peixoto
We investigate the trade-off between the robustness against random and targeted removal of nodes from a network. To this end we utilize the stochastic block model to study ensemble…