publications

Selected publications. Find all on Google Scholar (click here).

2026

  1. ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
    Wang, Xin, Delgado, Héctor, Tak, Hemlata, Jung, Jee-weon, Shim, Hye-jin, Todisco, Massimiliano, Kukanov, Ivan, Liu, Xuechen, Sahidullah, Md, Kinnunen, Tomi, Evans, Nicholas, Lee, Kong Aik, Yamagishi, Junichi, Müller, Nicolas M, and others,
    Computer Speech & Language 2026

2025

  1. Easy, Interpretable, Effective: openSMILE for Voice Deepfake Detection
    Pascu, Octavian, Oneata, Dan, Cucu, Horia, and Müller, Nicolas M
    In ICASSP 2025 2025
  2. Replay Attacks Against Audio Deepfake Detection
    Müller, Nicolas M, Kawa, Piotr, Choong, Wei Herng, Stan, Adriana, Bukkapatnam, Aditya, Pizzi, Karla, Wagner, Alexander, and Sperl, Philip
    Interspeech 2025
  3. Unmasking Real-World Audio Deepfakes: A Data-Centric Approach
    Combei, David, Stan, Adriana, Oneata, Dan, Müller, Nicolas M, and Cucu, Horia
    Interspeech 2025
  4. DeePen: Penetration Testing for Audio Deepfake Detection
    Müller, Nicolas M, Kawa, Piotr, Stan, Adriana, Doan, Thien-Phuc, Jung, Souhwan, Choong, Wei Herng, Sperl, Philip, and Böttinger, Konstantin
    arXiv preprint arXiv:2502.20427 2025

2024

  1. Shortcut Detection with Variational Autoencoders
    Müller, Nicolas M, Roschmann, Simon, Khan, Shahbaz, Sperl, Philip, and Böttinger, Konstantin
    In 2024 International Joint Conference on Neural Networks (IJCNN) 2024
  2. MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
    Müller, Nicolas M, Kawa, Piotr, Choong, Wei Herng, Casanova, Edresson, Gölge, Eren, Müller, Thorsten, Syga, Piotr, Sperl, Philip, and Böttinger, Konstantin
    In 2024 International Joint Conference on Neural Networks (IJCNN) 2024
  3. Harder or Different? Understanding Generalization of Audio Deepfake Detection
    Müller, Nicolas M, Evans, Nicholas, Tak, Hemlata, Sperl, Philip, and Böttinger, Konstantin
    Interspeech 2024
  4. A New Approach to Voice Authenticity
    Müller, Nicolas M, Kawa, Piotr, Hu, Shen, Neu, Matthias, Williams, Jennifer, Sperl, Philip, and Böttinger, Konstantin
    Interspeech 2024
  5. Imbalance in Regression Datasets
    Kowatsch, Daniel, Müller, Nicolas M, Tscharke, Kilian, Sperl, Philip, and Böttinger, Konstantin
    arXiv preprint arXiv:2402.11963 2024
  6. Using MLAAD for Source Tracing of Audio Deepfakes
    Müller, Nicolas M
    2024

2023

  1. Complex-valued neural networks for voice anti-spoofing
    Müller, Nicolas M, Sperl, Philip, and Böttinger, Konstantin
    Interspeech 2023
  2. Localized Shortcut Removal
    Müller, Nicolas M, Jacobs, Jochen, Williams, Jennifer, and Böttinger, Konstantin
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2023
  3. Protecting Publicly Available Data with Machine Learning Shortcuts
    Müller, Nicolas M, Burgert, Maximilian, Debus, Pascal, Williams, Jennifer, Sperl, Philip, and Böttinger, Konstantin
    In 34th British Machine Vision Conference (BMVC) 2023

2022

  1. Attacker Attribution of Audio Deepfakes
    Müller, Nicolas M, Dieckmann, Franziska, and Williams, Jennifer
    Interspeech 2022
  2. Does audio deepfake detection generalize?
    Müller, Nicolas M, Czempin, Pavel, Dieckmann, Franziska, Froghyar, Adam, and Böttinger, Konstantin
    Interspeech 2022

2021

  1. SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model
    Casanova, Edresson, Shulby, Christopher, Gölge, Eren, Müller, Nicolas Michael, Oliveira, Frederico Santos, Junior, Arnaldo Candido, Soares, Anderson da Silva, Aluisio, Sandra Maria, and Ponti, Moacir Antonelli
    Interspeech 2021
  2. Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?
    Müller, Nicolas M, Dieckmann, Franziska, Czempin, Pavel, Canals, Roman, and Böttinger, Konstantin
    ASVspoof 2021
  3. Human Perception of Audio Deepfakes
    Müller, Nicolas M, Markert, Karla, and Böttinger, Konstantin
    ACM Multimedia 2022 2021

2020

  1. Data Poisoning Attacks on Regression Learning and Corresponding Defenses
    Müller, Nicolas, Kowatsch, Daniel, and Böttinger, Konstantin
    In 2020 IEEE 25th Pacific Rim International Symposium on Dependable Computing (PRDC) 2020
  2. Towards Resistant Audio Adversarial Examples
    Dörr, Tom, Markert, Karla, Müller, Nicolas M, and Böttinger, Konstantin
    In Proceedings of the 1st ACM Workshop on Security and Privacy on Artificial Intelligence (SPAI) 2020

2019

  1. Identifying mislabeled instances in classification datasets
    Müller, Nicolas M, and Markert, Karla
    In 2019 International Joint Conference on Neural Networks (IJCNN) 2019
  2. Distributed Anomaly Detection of Single Mote Attacks in RPL Networks
    Müller, Nicolas, Debus, Pascal, Kowatsch, Daniel, and Böttinger, Konstantin
    In Proceedings of the 16th International Joint Conference on e-Business and Telecommunications (ICETE) 2019
  3. On GDPR compliance of companies’ privacy policies
    Müller, Nicolas M, Kowatsch, Daniel, Debus, Pascal, Mirdita, Donika, and Böttinger, Konstantin
    In International Conference on Text, Speech, and Dialogue (TSD) 2019