activity
20212024
most citedHuman Perception of Audio Deepfakes

66 citations · 84 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2024★ 1 cited

Exploratory Evaluation of Speech Content Masking

Jennifer Williams, Karla Pizzi, Paul-Gauthier Noe +1

Most recent speech privacy efforts have focused on anonymizing acoustic speaker attributes but there has not been as much research into protecting information from speech content.…

cs.SD2023

An Integrated Algorithm for Robust and Imperceptible Audio Adversarial Examples

Armin Ettenhofer, Jan-Philipp Schulze, Karla Pizzi

Audio adversarial examples are audio files that have been manipulated to fool an automatic speech recognition (ASR) system, while still sounding benign to a human listener. Most me…

eess.AS2023★ 9 cited

New Challenges for Content Privacy in Speech and Audio

Jennifer Williams, Karla Pizzi, Shuvayanti Das +1

Privacy in speech and audio has many facets. A particularly under-developed area of privacy in this domain involves consideration for information related to content and context. Sp…

cs.SD2023★ 8 cited

Introducing Model Inversion Attacks on Automatic Speaker Recognition

Karla Pizzi, Franziska Boenisch, Ugur Sahin +1

Model inversion (MI) attacks allow to reconstruct average per-class representations of a machine learning (ML) model's training data. It has been shown that in scenarios where each…

cs.HC2021★ 66 cited

Human Perception of Audio Deepfakes

Nicolas M. Müller, Karla Pizzi, Jennifer Williams

The recent emergence of deepfakes has brought manipulated and generated content to the forefront of machine learning research. Automatic detection of deepfakes has seen many new ma…