Results 41 to 50 of about 1,822,892 (288)
Differential privacy: an information-theoretic approach to preserve privacy in datasets
, 2022 reservedIn large datasets, anonymization may be not enough to preserve privacy. In recent years to tackle privacy preservation in datasets, it has been proposed a mathematical approach called differential privacy, which is the topic of this thesis.
FABRIS, GIULIA
core
Concentrated Differential Privacy
CoRR, 2016 We introduce Concentrated Differential Privacy, a relaxation of Differential Privacy enjoying better accuracy than both pure differential privacy and its popular "(epsilon,delta)" relaxation without compromising on cumulative privacy loss over multiple computations.
Cynthia Dwork, Guy N. Rothblum
openaire +2 more sources
Discrete Gaussian for Differential Privacy
Journal of Privacy and Confidentiality, 2022 A key tool for building differentially private systems is adding Gaussian noise to the output of a function evaluated on a sensitive dataset. Unfortunately, using a continuous distribution presents several practical challenges. First and foremost, finite computers cannot exactly represent samples from continuous distributions, and previous work has ...
Clément L. Canonne +2 more
openaire +7 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT We assessed the effect of iron overload (IO) on mortality and complications following hematopoietic stem cell transplantation (HSCT) in patients with Diamond–Blackfan anemia syndrome (DBAS) in a systematic review of individual participant data and cohort data from observational studies.
Geoffrey Z. L. Kuppens +6 more
wiley +1 more source
Privacy and Data Protection Act 2014 [PDF]
, 2014 This report establishes a data security regime for all information held by the Victorian public sector. Authorised Version No. 001 - Privacy and Data Protection Act 2014 - No.
Commissioner for Privacy and Data Protection
core
Privacy-aware eye tracking using differential privacy
, 2019 With eye tracking being increasingly integrated into virtual and augmented reality (VR/AR) head-mounted displays, preserving users’ privacy is an ever more important, yet under-explored, topic in the eye tracking community. We report a large-scale online
Andreas Bulling (5099876) +3 more
core +1 more source
The Protection of Data Sharing for Privacy in Financial Vision
Applied Sciences, 2022 The primary motivation is to address difficulties in data interpretation or a reduction in model accuracy. Although differential privacy can provide data privacy guarantees, it also creates problems.
Yi-Ren Wang, Yun-Cheng Tsai
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Next‐generation sequencing (NGS) has emerged as a promising approach to improve diagnostic accuracy, but its feasibility in low‐ and middle‐income countries remains unknown. This study characterized the diagnostic landscape and assessed organizational readiness for NGS implementation at two childhood cancer treatment centers in Accra ...
Melissa Carvalho +6 more
wiley +1 more source
Differential Privacy By Sampling
CoRR, 2017 In this paper we present the Sampling Privacy mechanism for privately releasing personal data. Sampling Privacy is a sampling based privacy mechanism that satisfies differential privacy.
Josh Joy, Mario Gerla
openaire +2 more sources
Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source