research
∙
08/22/2023
Complex-valued neural networks for voice anti-spoofing
Current anti-spoofing and audio deepfake detection systems use either ma...
share
research
∙
02/08/2023
Shortcut Detection with Variational Autoencoders
For real-world applications of machine learning (ML), it is essential th...
research
∙
11/24/2022
Shortcut Removal for Improved OOD-Generalization
Machine learning is a data-driven discipline, and learning success is la...
research
∙
03/30/2022
Does Audio Deepfake Detection Generalize?
Current text-to-speech algorithms produce realistic fakes of human voice...
research
∙
03/28/2022
Attacker Attribution of Audio Deepfakes
Deepfakes are synthetically generated media often devised with malicious...
research
∙
07/20/2021
Human Perception of Audio Deepfakes
The recent emergence of deepfakes, computerized realistic multimedia fak...
research
∙
06/23/2021
Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?
We present our analysis of a significant data artifact in the official 2...
research
∙
04/14/2021
Defending against Adversarial Denial-of-Service Attacks
Data poisoning is one of the most relevant security threats against mach...
research
∙
01/26/2021
Adversarial Vulnerability of Active Transfer Learning
Two widely used techniques for training supervised machine learning mode...
research
∙
10/14/2020
