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:
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 Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Infinite ensembles for uncertainty prediction (Workshop Contribution) Uncertainty quantification with compound density network (Workshop Contribution) Leveraging Frequency Analysis for Deep Fake Image Recognition
