3 papers
eess.AS2026
The Impact of Side Information on Voice Privacy
Eulalie Thiombiano, Martha Larson, Vincent Colotte +1
Currently, voice-related privacy risks are studied under the assumption that the attacker has access only to spoken audio. In contrast, real-world collections often pair the speech…
cs.SD2026
Voice Privacy from an Attribute-based Perspective
Mehtab Ur Rahman, Martha Larson, Cristian Tejedor-Garcia
Voice privacy approaches that preserve the anonymity of speakers modify speech in an attempt to break the link with the true identity of the speaker. Current benchmarks measure spe…
cs.LG2023
When Machine Learning Models Leak: An Exploration of Synthetic Training Data
Manel Slokom, Peter-Paul de Wolf, Martha Larson
We investigate an attack on a machine learning model that predicts whether a person or household will relocate in the next two years, i.e., a propensity-to-move classifier. The att…