Results 71 to 80 of about 212,227 (315)
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 +3 more
doaj +1 more source
Privacy-Utility Trade-Off [PDF]
arXiv, 2022 In this paper, we investigate the privacy-utility trade-off (PUT) problem, which considers the minimal privacy loss at a fixed expense of utility. Several different kinds of privacy in the PUT problem are studied, including differential privacy, approximate differential privacy, maximal information, maximal leakage, Renyi differential privacy, Sibson ...
arxiv
Molecular Oncology, EarlyView.Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu +11 more
wiley +1 more source
Limiting Privacy Breaches in Differential Privacy
Advances in Intelligent Systems Research, 2014 In recently years, privacy-preserving data mining has become more import and attractedmore attention from data mining community. Among the existing privacy preserving models, -differential privacy provides the strongest privacy guarantees and has no assumption about the adversary's background information and compute ability.
Yin Jian, Liu Shaopeng, Ouyang Jia
openaire +3 more sources
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
Child Health Dataset Publishing and Mining Based on Differential Privacy Preservation
MathematicsWith 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 +3 more
doaj +1 more source
Verifiable differential privacy [PDF]
Proceedings of the Tenth European Conference on Computer Systems, 2015 Working with sensitive data is often a balancing act between privacy and integrity concerns. Consider, for instance, a medical researcher who has analyzed a patient database to judge the effectiveness of a new treatment and would now like to publish her findings.
Antonis Papadimitriou +3 more
openaire +2 more sources
On the 'Semantics' of Differential Privacy: A Bayesian Formulation
The Journal of Privacy and Confidentiality, 2014 Differential privacy is a definition of privacy for algorithms that analyze and publish information about statistical databases. It is often claimed that differential privacy provides guarantees against adversaries with arbitrary side information.
Shiva P. Kasiviswanathan, Adam Smith
doaj +1 more source
Have the cake and eat it too: Differential Privacy enables privacy and precise analytics
Journal of Big Data, 2023 Existing research in differential privacy, whose applications have exploded across functional areas in the last few years, describes an intrinsic trade-off between the privacy of a dataset and its utility for analytics.
Rishabh Subramanian
doaj +1 more source