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Practicing Differential Privacy in Health Care: A Review

WEBThe authors introduced a probabilistic top down partitioning algorithm. The algorithm starts by creating a context‐free taxonomy tree and by generalizing all items under one …

Actived: 3 days ago

URL: http://www.tdp.cat/issues11/tdp.a129a13.pdf

Data privacy: state of the art

WEB2 Vicenc¸ Torra, Josep Domingo-Ferrer The second paper by Jerome P. Reiter is about synthetic data. Synthetic data have gained popularity in the last years as a tool to …

Category:  Health Go Health

Optimizing Privacy and Data Utility: Metrics and Strategies

WEB154 Cl´emence Mauger, Ga el Le Mahec, Gilles Dequen¨ of privacy to individuals. Before publishing data, the identity of individuals and their

Category:  Health Go Health

Transactions on Data Privacy

WEBAbstract. Differential privacy has gained a lot of attention in recent years as a general model for the protection of personal information when used and disclosed for secondary purposes.

Category:  Health Go Health

Synthetic Data: A Look Back and A Look Forward

WEBTRANSACTIONS ON DATA PRIVACY 16 (2023) 15–24 Synthetic Data: A Look Back and A Look Forward Jerome P. Reiter Box 90251, Duke University, Durham, NC 27708, USA. …

Category:  Health Go Health

The Privacy Policy Permission Model: A Unified View of …

WEB4 Maryam Majedi, Ken Barker decipher. The notice-and-consent approach is widely used in the United States, but it is inadequate because it assumes that individuals read the …

Category:  Health Go Health

Privacy Preserving Linear Regression on Distributed Databases

WEBIn this paper, we present a (theoretical) privacy preserving linear regression model for the analysis of data owned by several sources. The protocol uses a semi-trusted third party …

Category:  Health Go Health

A model driven approach to data privacy verification in E …

WEBTRANSACTIONS ON DATA PRIVACY 8 (2015) 273–296 A model driven approach to data privacy verification in E-Health systems Flora Amato , Francesco Moscato DIETI, …

Category:  Health Go Health

Achieving k-anonymity Using Improved Greedy Heuristics for …

WEBTRANSACTIONS ON DATA PRIVACY 6 (2013) 1–17 Achieving k-anonymity Using Improved Greedy Heuristics for Very Large Relational Databases Korra Sathya Babu 1, …

Category:  Health Go Health

Membership Inference Attack against Differentially Private …

WEBIn this paper, to study the impact of membership inference attack on differentially private deep models, we choose the approach proposed in [9] as the target DPDM model …

Category:  Health Go Health

t-Plausibility: Generalizing Words to Desensitize Text

WEBTRANSACTIONS ON DATA PRIVACY 5 (2012) 505–534 t-Plausibility: Generalizing Words to Desensitize Text Balamurugan Anandan , Chris Clifton , Wei Jiang , Mummoorthy …

Category:  Health Go Health

SystematizationofKnowledgeofAmbient Assisted Living …

WEB2 Md Sakib Nizam Khan, Sonja Buchegger The Internet of Things (IoT) paradigm aims to connect objects surrounding us, from tiny sensors to big industrial equipment, …

Category:  Health Go Health

Transactions on Data Privacy

WEBAbstract. To enable data analytics that provides valuable insights, data that are distributed across several organisations increasingly need to be shared before they can be analysed.

Category:  Health Go Health

Theoretical Results on De-Anonymization via Linkage Attacks

WEBMartin M. Merener. York University, N520 Ross, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada. Abstract. Consider a database D with records containing history of individuals’ …

Category:  Health Go Health

PeGS: Perturbed Gibbs Samplers that Gen- erate Privacy …

WEB254 Yubin Park and Joydeep Ghosh and resolution of the original data, preprocessing steps and analytical procedures on syn-thetic data can be effortlessly transferred to the …

Category:  Health Go Health

An Enhanced Utility Driven Data Anonymization Method

WEBTRANSACTIONS ON DATA PRIVACY 5 (2012) 469 ‐ 503 469 An Enhanced Utility‐Driven Data Anonymization Method Stuart Morton*, Malika Mahoui*, P. Joseph Gibson** and …

Category:  Health Go Health

Enhanced P-Sensitive K-Anonymity Models for Privacy …

WEB54 X. Sun, H. Wang, J. Li, T. M. Truta Age Country Zip Code Health Condition 27 USA 14248 HIV 28 Canada 14207 HIV 26 USA 14246 Cancer 25 Canada 14249 Cancer

Category:  Cancer Go Health

DPCube: Differentially Private Histogram Release through

WEB196 Yonghui Xiao, Li Xiong, Liyue Fan, Slawomir Goryczka, Haoran Li difference whether an individual is being opted in or out of the database. Many meaning-ful results have …

Category:  Health Go Health

Secure Multi-party Summation Protocols: …

WEB28 Thilina Ranbaduge, Dinusha Vatsalan, Peter Christen protocol cannot always be trusted, SMC protocols must be able to guarantee the privacy of the input of each DP when …

Category:  Health Go Health

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