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ORCIDTransactions on Data Privacy, Volume 17
Volume 17, Number 1, January 2024
- Cameron D. Bale, Jordan L. Fischer, Matthew J. Schneider, Steven Weber, Suzanne Chang:
Legally Anonymizing Location Data Under the GDPR. 1-30 - Christine Schäler, Hans-Peter Schwefel:
Studying Utility Metrics for Differentially Private Low-Voltage Grid Monitoring. 31-54
Volume 17, Number 2, May 2024
- Noah Perry, Norman S. Matloff, Patrick Tendick:
RWN: A Novel Neighborhood-Based Method for Statistical Disclosure Control. 55-88 - Seira Hidano, Takao Murakami:
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy. 89-121
Volume 17, Number 3, September 2024
- Anja Perry, Wolfgang Zenk-Möltgen:
When to use the k-rule? - Criteria for managing uniqueness and de-anonymization risk in social science survey data. 123-146 - Elias Chaibub Neto:
Statistical disclosure control for numeric microdata via sequential joint probability preserving data shuffling. 147-179
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last updated on 2026-02-14 22:57 CET by the dblp team
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