1 citations · 1 across the 4 of their papers we have counts for
4 papers
Towards an Optimal Control Perspective of ResNet Training
Jens Püttschneider, Simon Heilig, Asja Fischer +1
We propose a training formulation for ResNets reflecting an optimal control problem that is applicable for standard architectures and general loss functions. We suggest bridging bo…
Can LLMs Explain Themselves Counterfactually?
Zahra Dehghanighobadi, Asja Fischer, Muhammad Bilal Zafar
Explanations are an important tool for gaining insights into the behavior of ML models, calibrating user trust and ensuring regulatory compliance. Past few years have seen a flurry…
Lightweight Model Attribution and Detection of Synthetic Speech via Audio Residual Fingerprints
Matías Pizarro, Mike Laszkiewicz, Dorothea Kolossa +1
As speech generation technologies advance, so do risks of impersonation, misinformation, and spoofing. We present a lightweight, training-free approach for detecting synthetic spee…
Comparative Study on Noise-Augmented Training and its Effect on Adversarial Robustness in ASR Systems
Karla Pizzi, Matías Pizarro, Asja Fischer
In this study, we investigate whether noise-augmented training can concurrently improve adversarial robustness in automatic speech recognition (ASR) systems. We conduct a comparati…