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20182026
most citedFlexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata

15 citations · 56 across the 19 of their papers we have counts for

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eess.AS2026

Goodbye Equal Error Rate, Hello Local Information Disclosure: Evaluating Voice Anonymisation against 1-to-N Linkage Threats

Dāvis Šterns, Konstantinos Drossos, Natasha Fernandes +2

Voice anonymisation aims to protect speaker identity. Currently, its empirical privacy evaluation heavily relies on the Equal Error Rate (EER). Originally designed for biometric ve…