Matías Pizarro, M.Sc.

Research Interests

  • Detecting and preventing adversarial attacks on ASR systems.
  • Identifying fake vs. genuine audio with machine learning.
  • Improving the robustness and reliability of audio-based systems.

Teaching

Publications

2024

Artikel

Single-Model Attribution for Spoofed Speech via Vocoder Fingerprints in an Open-World Setting

Matías Pizarro, Mike Laszkiewicz, Dorothea Kolossa, Asja Fischer

In: arXiv Preprint, 2024.

Links

Proceedings Article

Reassessing Noise Augmentation Methods in the Context of Adversarial Speech

Karla Pizzi, Matías Pizarro, Asja Fischer

In: Symposium on Security and Privacy in Speech Communication (SPSC), 2024.

Links

Proceedings Article

DistriBlock: Identifying Adversarial Audio Samples by Leveraging Characteristics of the Output Distribution

Matías Pizarro, Dorothea Kolossa, Asja Fischer

In: Conference on Uncertainty in Artificial Intelligence (UAI), 2024.

Links

2021

Proceedings Article

Robustifying Automatic Speech Recognition by Extracting Slowly Varying Features

Matías Pizarro, Dorothea Kolossa, Asja Fischer

In: Symposium on Security and Privacy in Speech Communication (SPSC), 2021.

Links