Results 261 to 270 of about 13,061 (285)
Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract)
Proceedings of the AAAI Conference on Artificial IntelligenceRecent research has shown a growing interest in per-instance differential privacy (pDP), highlighting the fact that each data instance within a dataset may incur distinct levels of privacy loss. However, conventional additive noise mechanisms apply identical noise to all query outputs, thereby deteriorating data statistics. In this study, we propose an
Sehyun Ryu +3 more
openaire +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
The optimal upper bound of the number of queries for Laplace mechanism under differential privacy
Information Sciences, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaoguang Li, Hui Li, Hui Zhu
exaly +2 more sources
A Differential Privacy Mechanism Combining Randomized Response with Laplace Distribution
2021 7th International Conference on Computer and Communications (ICCC), 2021Zhengquan Xu, Jianzhang Chen
exaly +2 more sources
Towards achieving geo‐indistinguishability for 3D GPS location: A 3D Laplace mechanism approach
Concurrency Computation Practice and ExperienceSummaryAs the scope of human exploration continues to expand from land to space and the oceans, location‐based data analysis and services are facing unprecedented opportunities and challenges. The wide application of various services based on spatial location in the fields of medical, transportation, financial, social and so forth not only provides ...
Yan Yan, Adnan Mahmood, Quan Z Sheng
exaly +2 more sources
On Bayesian classification with Laplace priors
Pattern Recognition Letters, 2007 We present a new classification approach, using a variational Bayesian estimation of probit regression with Laplace priors. Laplace priors have been previously used extensively as a sparsity-inducing mechanism to perform feature selection simultaneously ...
Ata Kaban
exaly +2 more sources
Enhancing the Trajectory Privacy with Laplace Mechanism
2015 IEEE Trustcom/BigDataSE/ISPA, 2015Mobile-aware service systems are dramatically increasing the amount of personal data released to service providers as well as to third parties. Data may reveal individuals' physical conditions, habits, and sensitive information. It raises serious privacy concerns. Current approaches to mitigate the privacy concerns rely on the randomization.
Daiyong Quan, Lihua Yin, Yunchuan Guo
openaire +1 more source
The use of Laplace’s equation in aneurysm mechanics
Neurological Research, 1996It is widely thought that the genesis, expansion, and rupture of intracranial aneurysms are each governed, in part, by mechanical mechanisms, and consequently that continuum mechanics has an important role to play in increasing our understanding of the natural history of these lesions.
J D, Humphrey, S K, Kyriacou
openaire +2 more sources
Input Validation for the Laplace Differential Privacy Mechanism
2015 20th International Conference on Control Systems and Computer Science, 2015Privacy is an increasing concern as the number of databases containing personal information grows. Differential privacy algorithms can be used to provide safe database queries through the insertion of noise. Attackers cannot recover pieces of the initial data with certainty, but this comes at the cost of data utility.
Sergiu Costea, Nicolae Tapus
openaire +1 more source
Comparative cardiac mechanics: Laplace's law
Journal of Theoretical Biology, 1986The pumping ability of the heart is determined by mechanical and geometrical factors. These latter are governed by Laplace's Law. The extent of the applicability of this law across mammalian species is examined utilizing allometric relations and dimensional analysis.
openaire +2 more sources
Conducting Correlated Laplace Mechanism for Differential Privacy
2017Recently, differential privacy achieves good trade-offs between data publishing and sensitive information hiding. But in data publishing for correlated data, the independent Laplace noise implemented in current differential privacy preserving methods can be detected and sanitized, reducing privacy level.
Hao Wang 0033 +3 more
openaire +1 more source