March 07, 2023 article Open access A Unified Framework for Quantifying Privacy Risk in Synthetic Data Proceedings on Privacy Enhancing Technologies DOI: 10.56553/popets-2023-0055 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 83 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Collaborative Data Anonymization Framework With Energy Industry 2026 Open Conference Proceedings conference-paper Computer Science Privacy-Preserving Technologies in Data Open access 0 citations Privacy and Utility Evaluation of Synthetic Tabular Data for Machine Learning 2024 IFIP advances in information and communication technology conference-paper Computer Science Privacy-Preserving Technologies in Data Open access 1 citations 2 results References 0