Usenix Security’25: Measuring Sample-level Unlearning Completeness
ZEBRA: Zero Evidence Biometric Recognition Assessment - from https://gitlab.eurecom.fr/nautsch/zebra
Application of K-Anonymity, L-Diversity, T-Closeness on numerical or categorial Data.
A Python-based framework demonstrating data anonymization methods for securing user location data in modern Location-Based Services.
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