Asja Fischer
Institution: Ruhr-Universität Bochum / CASA
Research Hub(s):
Hub C: Secure Systems
E-Mail: Asja.Fischer@rub.de
Adress: IB 3/153
Website: https://informatik.rub.de/ml/
Publications:
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations Approaches to Uncertainty Quantification in Federated Deep Learning How Sampling Impacts the Robustness of Stochastic Neural Networks Towards the Detection of Diffusion Model Deepfakes AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error A Representative Study on Human Detection of Artificially Generated Media Across Countries Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing Efficient Calculation of Adversarial Examples for Bayesian Neural Networks Infinite ensembles for uncertainty prediction (Workshop Contribution) Uncertainty quantification with compound density network (Workshop Contribution) Leveraging Frequency Analysis for Deep Fake Image Recognition
