![Asja Fischer](/fileadmin/_processed_/f/6/csm_Asja_Fischer_fertig_093fc41ab8.jpg)
Asja Fischer
Institution: Ruhr-Universität Bochum / CASA
Research Hub(s):
Hub C: Sichere Systeme
E-Mail: Asja.Fischer@rub.de
Adresse: IB 3/153
Website: https://informatik.rub.de/ml/
Publikationen:
Infinite ensembles for uncertainty prediction (Workshop-Beitrag) Approaches to Uncertainty Quantification in Federated Deep Learning SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations How Sampling Impacts the Robustness of Stochastic Neural Networks Towards the Detection of Diffusion Model Deepfakes Efficient Calculation of Adversarial Examples for Bayesian Neural Networks Uncertainty quantification with compound density network (Workshop-Beitrag) Leveraging Frequency Analysis for Deep Fake Image Recognition Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing