13 citations · 18 across the 3 of their papers we have counts for
4 papers
CLEO: Continual Learning of Evolving Ontologies
Shishir Muralidhara, Saqib Bukhari, Georg Schneider +2
Continual learning (CL) addresses the problem of catastrophic forgetting in neural networks, which occurs when a trained model tends to overwrite previously learned information, wh…
Online Black-Box Confidence Estimation of Deep Neural Networks
Fabian Woitschek, Georg Schneider
Autonomous driving (AD) and advanced driver assistance systems (ADAS) increasingly utilize deep neural networks (DNNs) for improved perception or planning. Nevertheless, DNNs are q…
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study
Fabian Woitschek, Georg Schneider
Deep Neural Networks (DNNs) are increasingly applied in the real world in safety critical applications like advanced driver assistance systems. An example for such use case is repr…
Towards Audit Requirements for AI-based Systems in Mobility Applications
Devi Padmavathi Alagarswamy, Christian Berghoff, Vasilios Danos +5
Various mobility applications like advanced driver assistance systems increasingly utilize artificial intelligence (AI) based functionalities. Typically, deep neural networks (DNNs…