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

Matías Pizarro, Dorothea Kolossa, Asja Fischer

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

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

Links

Matías Pizarro, Mike Laszkiewicz, Dorothea Kolossa, Asja Fischer

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

In: arXiv Preprint, 2024.

Links

Karla Pizzi, Matías Pizarro, Asja Fischer

Reassessing Noise Augmentation Methods in the Context of Adversarial Speech Proceedings Article

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

Links

2021

Matías Pizarro, Dorothea Kolossa, Asja Fischer

Robustifying Automatic Speech Recognition by Extracting Slowly Varying Features Proceedings Article

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

Links