Nicolas M. Müller

According to our database, Nicolas M. Müller authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Easy, Interpretable, Effective: openSMILE for voice deepfake detection.

Octavian Pascu, Dan Oneata, Horia Cucu, Nicolas M. Müller

CoRR, 2024

Harder or Different? Understanding Generalization of Audio Deepfake Detection.

Nicolas M. Müller, Nicholas W. D. Evans, Hemlata Tak, Philip Sperl, Konstantin Böttinger

CoRR, 2024

Imbalance in Regression Datasets.

Daniel Kowatsch, Nicolas M. Müller, Kilian Tscharke, Philip Sperl, Konstantin Böttinger

CoRR, 2024

A New Approach to Voice Authenticity.

Nicolas M. Müller, Piotr Kawa, Shen Hu, Matthias Neu, Jennifer Williams, Philip Sperl, Konstantin Böttinger

CoRR, 2024

Shortcut Detection With Variational Autoencoders.

Nicolas M. Müller, Simon Roschmann, Shahbaz Khan, Philip Sperl, Konstantin Böttinger

Proceedings of the International Joint Conference on Neural Networks, 2024

MLAAD: The Multi-Language Audio Anti-Spoofing Dataset.

Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Gölge, Thorsten Müller, Piotr Syga, Philip Sperl, Konstantin Böttinger

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Complex-valued neural networks for voice anti-spoofing.

Nicolas M. Müller, Philip Sperl, Konstantin Böttinger

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Localized Shortcut Removal.

Nicolas M. Müller, Jochen Jacobs, Jennifer Williams, Konstantin Böttinger

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Protecting Publicly Available Data With Machine Learning Shortcuts.

Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Shortcut Removal for Improved OOD-Generalization.

Nicolas M. Müller, Jochen Jacobs, Jennifer Williams, Konstantin Böttinger

CoRR, 2022

Human Perception of Audio Deepfakes.

Nicolas M. Müller, Karla Pizzi, Jennifer Williams

Proceedings of the DDAM@MM 2022: Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia, 2022

Attacker Attribution of Audio Deepfakes.

Nicolas M. Müller, Franziska Dieckmann, Jennifer Williams

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Does Audio Deepfake Detection Generalize?

Nicolas M. Müller, Pavel Czempin, Franziska Dieckmann, Adam Froghyar, Konstantin Böttinger

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Human Perception of Audio Deepfakes.

Nicolas M. Müller, Karla Markert, Konstantin Böttinger

CoRR, 2021

Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?

Nicolas M. Müller, Franziska Dieckmann, Pavel Czempin, Roman Canals, Konstantin Böttinger

CoRR, 2021

Defending against Adversarial Denial-of-Service Attacks.

Nicolas M. Müller, Simon Roschmann, Konstantin Böttinger

CoRR, 2021

Deep Reinforcement Learning for Backup Strategies against Adversaries.

Pascal Debus, Nicolas M. Müller, Konstantin Böttinger

CoRR, 2021

SC-GlowTTS: An Efficient Zero-Shot Multi-Speaker Text-To-Speech Model.

Edresson Casanova, Christopher Shulby, Eren Gölge, Nicolas Michael Müller, Frederico Santos de Oliveira, Arnaldo Candido Jr., Anderson da Silva Soares, Sandra Maria Aluísio, Moacir Antonelli Ponti

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Adversarial Vulnerability of Active Transfer Learning.

Nicolas M. Müller, Konstantin Böttinger

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020

Towards Resistant Audio Adversarial Examples.

Tom Dörr, Karla Markert, Nicolas M. Müller, Konstantin Böttinger

CoRR, 2020

Data Poisoning Attacks on Regression Learning and Corresponding Defenses.

Nicolas M. Müller, Daniel Kowatsch, Konstantin Böttinger

Proceedings of the 25th IEEE Pacific Rim International Symposium on Dependable Computing, 2020

2019

On GDPR Compliance of Companies' Privacy Policies.

Nicolas M. Müller, Daniel Kowatsch, Pascal Debus, Donika Mirdita, Konstantin Böttinger

Proceedings of the Text, Speech, and Dialogue - 22nd International Conference, 2019

Identifying Mislabeled Instances in Classification Datasets.

Nicolas M. Müller, Karla Markert

Proceedings of the International Joint Conference on Neural Networks, 2019

Distributed Anomaly Detection of Single Mote Attacks in RPL Networks.

Nicolas M. Müller, Pascal Debus, Daniel Kowatsch, Konstantin Böttinger

Proceedings of the 16th International Joint Conference on e-Business and Telecommunications, 2019