Nicolas M. Müller

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Anomaly Detection

Human Perception

Top Venues

Publications

Nicolas M. Müller, Nicholas W. D. Evans, Hemlata Tak, Philip Sperl, Konstantin Böttinger
Harder or Different? Understanding Generalization of Audio Deepfake Detection. CoRR (2024)
Nicolas M. Müller, Piotr Kawa, Shen Hu, Matthias Neu, Jennifer Williams, Philip Sperl, Konstantin Böttinger
A New Approach to Voice Authenticity. CoRR (2024)
Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Gölge, Thorsten Müller, Piotr Syga, Philip Sperl, Konstantin Böttinger
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset. CoRR (2024)
Daniel Kowatsch, Nicolas M. Müller, Kilian Tscharke, Philip Sperl, Konstantin Böttinger
Imbalance in Regression Datasets. CoRR (2024)
Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger
Protecting Publicly Available Data With Machine Learning Shortcuts. CoRR (2023)
Nicolas M. Müller, Philip Sperl, Konstantin Böttinger
Complex-valued neural networks for voice anti-spoofing. CoRR (2023)
Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger
Protecting Publicly Available Data With Machine Learning Shortcuts. BMVC (2023)
Nicolas M. Müller, Philip Sperl, Konstantin Böttinger
Complex-valued neural networks for voice anti-spoofing. INTERSPEECH (2023)
Nicolas M. Müller, Simon Roschmann, Shahbaz Khan, Philip Sperl, Konstantin Böttinger
Shortcut Detection with Variational Autoencoders. CoRR (2023)
Nicolas M. Müller, Jochen Jacobs, Jennifer Williams, Konstantin Böttinger
Localized Shortcut Removal. CVPR Workshops (2023)
Nicolas M. Müller, Pavel Czempin, Franziska Dieckmann, Adam Froghyar, Konstantin Böttinger
Does Audio Deepfake Detection Generalize? INTERSPEECH (2022)
Nicolas M. Müller, Pavel Czempin, Franziska Dieckmann, Adam Froghyar, Konstantin Böttinger
Does Audio Deepfake Detection Generalize? CoRR (2022)
Nicolas M. Müller, Jochen Jacobs, Jennifer Williams, Konstantin Böttinger
Shortcut Removal for Improved OOD-Generalization. CoRR (2022)
Nicolas M. Müller, Franziska Dieckmann, Jennifer Williams
Attacker Attribution of Audio Deepfakes. CoRR (2022)
Nicolas M. Müller, Franziska Dieckmann, Jennifer Williams
Attacker Attribution of Audio Deepfakes. INTERSPEECH (2022)
Nicolas M. Müller, Karla Pizzi, Jennifer Williams
Human Perception of Audio Deepfakes. DDAM@MM (2022)
Nicolas M. Müller, Simon Roschmann, Konstantin Böttinger
Defending against Adversarial Denial-of-Service Attacks. CoRR (2021)
Nicolas M. Müller, Franziska Dieckmann, Pavel Czempin, Roman Canals, Konstantin Böttinger
Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn? CoRR (2021)
Pascal Debus, Nicolas M. Müller, Konstantin Böttinger
Deep Reinforcement Learning for Backup Strategies against Adversaries. CoRR (2021)
Nicolas M. Müller, Konstantin Böttinger
Adversarial Vulnerability of Active Transfer Learning. CoRR (2021)
Nicolas M. Müller, Karla Markert, Konstantin Böttinger
Human Perception of Audio Deepfakes. CoRR (2021)
Nicolas M. Müller, Konstantin Böttinger
Adversarial Vulnerability of Active Transfer Learning. IDA (2021)
Tom Dörr, Karla Markert, Nicolas M. Müller, Konstantin Böttinger
Towards Resistant Audio Adversarial Examples. CoRR (2020)
Nicolas M. Müller, Daniel Kowatsch, Konstantin Böttinger
Data Poisoning Attacks on Regression Learning and Corresponding Defenses. PRDC (2020)
Nicolas M. Müller, Karla Markert
Identifying Mislabeled Instances in Classification Datasets. IJCNN (2019)
Nicolas M. Müller, Daniel Kowatsch, Pascal Debus, Donika Mirdita, Konstantin Böttinger
On GDPR Compliance of Companies' Privacy Policies. TSD (2019)
Nicolas M. Müller, Pascal Debus, Daniel Kowatsch, Konstantin Böttinger
Distributed Anomaly Detection of Single Mote Attacks in RPL Networks. ICETE (2) (2019)