Results 61 to 70 of about 64,907 (298)

Differentially Private Mixed Data Release Algorithm Based on k-prototype Clustering

Jisuanji kexue yu tansuo, 2021
Differential privacy is a model that provides strong privacy protection. Under the non-interactive frame-work, data managers can publish data sets processed by differential privacy protection technology for researchers to conduct mining and analysis ...
QU Jingjing, CAI Ying, FAN Yanfang, XIA Hongke
doaj   +1 more source

Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley   +1 more source

Privacy at Scale [PDF]

Proceedings of the 2018 International Conference on Management of Data, 2018
Local differential privacy (LDP), where users randomly perturb their inputs to provide plausible deniability of their data without the need for a trusted party, has been adopted recently by several major technology organizations, including Google, Apple and Microsoft.
Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li 0001, Divesh Srivastava, Tianhao Wang 0001   +5 more
openaire   +2 more sources

Lipopolysaccharide uptake is augmented in lipopolysaccharide‐tolerant mouse macrophage‐like cells via increased CD14 expression

FEBS Open Bio, EarlyView.
In normal (nontolerant) cells, CD14 is crucial for both LPS uptake and LPS signaling. In LPS‐tolerant cells, in which LPS‐induced TNF‐α and IFN‐β production is suppressed, there is a dramatic increase in surface CD14 expression. The overexpressed CD14 in LPS‐tolerant cells is responsible for the enhanced LPS uptake without inducing pro‐inflammatory ...
Saeka Nishihara, Takayuki Manabe, Mika Jouta, Kiyoshi Kawasaki   +3 more
wiley   +1 more source

A Survey of Differential Privacy Techniques for Federated Learning

IEEE Access
The problem of data privacy protection in the information age deserves people’s attention. As a distributed machine learning technology, federated learning can effectively solve the problem of privacy security and data silos.
Wang Xin, Li Jiaqian, Ding Xueshuang, Zhang Haoji, Sun Lianshan   +4 more
doaj   +1 more source

A Novel Differential Privacy Recommendation Method Based on a Distributed Framework

, 2018
With the rapid development of mobile Internet technology, the traditional recommender systems have not been well adapted to location-based recommendation services, and they also face the risk of privacy leaks.
Zheng, Xiaoyao, Zhang, Ji, Yonglong Luo, Chen, Fulong, Luo, Yonglong, Liping Sun, Sun, Liping, Xiaoyao Zheng, Fulong Chen, Ji Zhang   +9 more
core   +1 more source

Age-Dependent Differential Privacy

IEEE Transactions on Information Theory, 2022
The proliferation of real-time applications has motivated extensive research on analyzing and optimizing data freshness in the context of age of information. However, classical frameworks of privacy (e.g., differential privacy (DP)) have overlooked the impact of data freshness on privacy guarantees, and hence may lead to unnecessary accuracy loss when ...
Meng Zhang 0013, Ermin Wei, Randall Berry, Jianwei Huang 0001   +3 more
openaire   +3 more sources

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

RBDPM: Risk-Based Differential Privacy Model for Trajectory Data [PDF]

Personal safety applications enable users to communicate emergency situations to relevant third parties and local authorities. Location-Based Services play a crucial role in the capture and exchange of data, including location and personal identifiable ...
Alofe, O.
core   +1 more source

Improving Laplace Mechanism of Differential Privacy by Personalized Sampling

, 2022
The differential privacy is the state-of-the-art conception for privacy preservation due to its strong privacy guarantees, however it suffers from low accuracy.
Zhou, S, Qiu, S, Huang, W, Zhu, T, Liao, Y, Wu, C   +5 more
core   +1 more source