Results 71 to 80 of about 1,822,892 (288)

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

Sampling and Partitioning for Differential Privacy

, 2016
Differential privacy enjoys increasing popularity thanks to both a precise semantics for privacy and effective enforcement mechanisms. Many tools have been proposed to spread its use and ease the task of the concerned data scientist.
David Sands, Hamid Ebadi, Ebadi Tavallaei, Hamid,, Antignac, Thibaud,, Sands, David, Antignac, Thibaud, Sands, David,, Ebadi Tavallaei, Hamid, Tavallaei Ebadi, Hamid, Thibaud Antignac   +9 more
core   +1 more source

Trajectory privacy protection scheme based on differential privacy

Tongxin xuebao, 2021
To solve the problem that the current sampling mechanism and data obfuscation method may raise insufficient data availability and privacy protection, a trajectory privacy protection scheme based on differential privacy was proposed.A new efficient ...
Si CHEN, Anmin FU, Mang SU, Huaijiang SUN   +3 more
doaj   +2 more sources

Computational Differential Privacy [PDF]

, 2009
The definition of differential privacy has recently emerged as a leading standard of privacy guarantees for algorithms on statistical databases. We offer several relaxations of the definition which require privacy guarantees to hold only against efficient--i.e., computationally-bounded--adversaries.
Ilya Mironov, Omkant Pandey, Omer Reingold, Salil P. Vadhan   +3 more
openaire   +1 more source

The optimal mechanism in differential privacy [PDF]

2014 IEEE International Symposium on Information Theory, 2014
40 pages, 5 figures. Part of this work was presented in DIMACS Workshop on Recent Work on Differential Privacy across Computer Science, October 24 - 26 ...
Quan Geng, Pramod Viswanath
openaire   +3 more sources

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

FEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia, Rachel Heilmann, Maximiliano Barrientos, Laura MacNeill, Ingrid Vallee, Sarah K. Schultz, Patrick O'Donoghue, Angelica A. Moresco, Victoria M. Siu, Ilka U. Heinemann   +9 more
wiley   +1 more source

Enhancing Metric Privacy With a Shuffler

International audienceDifferential Privacy (DP) is one of the most successful privacy-preserving frameworks. In the central model of DP a trusted server adds controlled noise as it acts as an interface between the data providers (users) and the data ...
Chatzikokolakis, Konstantinos, Athanasiou, Andreas, Palamidessi, Catuscia   +2 more
core   +6 more sources

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Child Health Dataset Publishing and Mining Based on Differential Privacy Preservation

Mathematics
With the emergence and development of application requirements such as data analysis and publishing, it is particularly important to use differential privacy protection technology to provide more reliable, secure, and compliant datasets for research in ...
Wenyu Li, Siqi Wang, Hongwei Wang, Yunlong Lu   +3 more
doaj   +1 more source

MPDP -medoids: Multiple partition differential privacy preserving -medoids clustering for data publishing in the Internet of Medical Things

International Journal of Distributed Sensor Networks, 2021
The tremendous growth of Internet of Medical Things has led to a surge in medical user data, and medical data publishing can provide users with numerous services. However, neglectfully publishing the data may lead to severe leakage of user’s privacy.
Zekun Zhang, Tongtong Wu, Xiaoting Sun, Jiguo Yu   +3 more
doaj   +1 more source