Karla Pizzi

According to our database, Karla Pizzi authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Exploring features for membership inference in ASR model auditing.

Francisco Teixeira, Karla Pizzi, Raphaël Olivier, Alberto Abad, Bhiksha Raj, Isabel Trancoso

Comput. Speech Lang., 2026

2025

Replay Attacks Against Audio Deepfake Detection.

Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, Adriana Stan, Aditya Tirumala Bukkapatnam, Karla Pizzi, Alexander Wagner, Philip Sperl

CoRR, May, 2025

2024

Reassessing Noise Augmentation Methods in the Context of Adversarial Speech.

Karla Pizzi, Matías P. Pizarro B., Asja Fischer

CoRR, 2024

Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features.

Francisco Teixeira, Karla Pizzi, Raphaël Olivier, Alberto Abad, Bhiksha Raj, Isabel Trancoso

CoRR, 2024

Exploratory Evaluation of Speech Content Masking.

Jennifer Williams, Karla Pizzi, Paul-Gauthier Noé, Sneha Das

CoRR, 2024

Anonymizing Speaker Voices: Easy to Imitate, Difficult to Recognize?

Jennifer Williams, Karla Pizzi, Natalia A. Tomashenko, Sneha Das

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

An Integrated Algorithm for Robust and Imperceptible Audio Adversarial Examples.

Armin Ettenhofer, Jan-Philipp Schulze, Karla Pizzi

CoRR, 2023

New Challenges for Content Privacy in Speech and Audio.

Jennifer Williams, Karla Pizzi, Shuvayanti Das, Paul-Gauthier Noé

CoRR, 2023

Introducing Model Inversion Attacks on Automatic Speaker Recognition.

Karla Pizzi, Franziska Boenisch, Ugur Sahin, Konstantin Böttinger

CoRR, 2023

2022

Comparing Unsupervised Detection Algorithms for Audio Adversarial Examples.

Shanatip Choosaksakunwiboon, Karla Pizzi, Ching-Yu Kao

Proceedings of the Speech and Computer - 24th International Conference, 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