5 citations · 5 across the 6 of their papers we have counts for
6 papers
When a Zero-Shooter Cheats: Improving Age Estimation via Activation Steering
Erik Imgrund, Pia Hanfeld, Klim Kireev +1
Different age-related regulations have been proposed to protect minors from harmful content and interactions online. Automated age estimation is central to enforcing such regulatio…
Accelerating db-A* for Kinodynamic Motion Planning Using Diffusion
Julius Franke, Akmaral Moldagalieva, Pia Hanfeld +1
We present a novel approach for generating motion primitives for kinodynamic motion planning using diffusion models. The motions generated by our approach are adapted to each probl…
Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss--Legendre nodes
Chethan Krishnamurthy Ramanaik, Juan-Esteban Suarez Cardona, Anna Willmann +3
We formulate a data independent latent space regularisation constraint for general unsupervised autoencoders. The regularisation rests on sampling the autoencoder Jacobian in Legen…
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches
Pia Hanfeld, Khaled Wahba, Marina M. -C. Höhne +2
Autonomous flying robots, such as multirotors, often rely on deep learning models that make predictions based on a camera image, e.g. for pose estimation. These models can predict…
Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors
Pia Hanfeld, Marina M. -C. Höhne, Michael Bussmann +1
Autonomous flying robots, e.g. multirotors, often rely on a neural network that makes predictions based on a camera image. These deep learning (DL) models can compute surprising re…
InFlow: Robust outlier detection utilizing Normalizing Flows
Nishant Kumar, Pia Hanfeld, Michael Hecht +3
Normalizing flows are prominent deep generative models that provide tractable probability distributions and efficient density estimation. However, they are well known to fail while…