Langbeschreibung
Over the last decade, differential privacy (DP) has emerged as the de facto standard privacy notion for research in privacy-preserving data analysis and publishing. The DP notion offers strong privacy guarantee and has been applied to many data analysis tasks.
Inhaltsverzeichnis
Acknowledgments.- Introduction.- A Primer on ?-Differential Privacy.- What Does DP Mean?.- Publishing Histograms for Low-dimensional Datasets.- Differentially Private Optimization.- Publishing Marginals.- The Sparse Vector Technique.- Bibliography.- Authors' Biographies.