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Privacy and data protection are a major stumbling blocks for a data-driven educational future. Privacy policies are based on legal regulations, which in turn get their justification from political, cultural, economical and other kinds of discourses ...
Tore Hoel, Weiqin Chen
doaj +1 more source
Border Control and Use of Biometrics: Reasons Why the Right to Privacy Can Not Be Absolute [PDF]
This paper discusses concerns pertaining to the absoluteness of the right to privacy regarding the use of biometric data for border control. The discussion explains why privacy cannot be absolute from different points of view, including privacy versus national security, privacy properties conflicting with border risk analysis, and Privacy by Design ...
arxiv
Big Data Privacy in Biomedical Research
Biomedical research often involves studying patient data that contain personal information. Inappropriate use of these data might lead to leakage of sensitive information, which can put patient privacy at risk.
Shuang Wang+7 more
semanticscholar +1 more source
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan+6 more
wiley +1 more source
Context-Aware Generative Adversarial Privacy
Preserving the utility of published datasets while simultaneously providing provable privacy guarantees is a well-known challenge. On the one hand, context-free privacy solutions, such as differential privacy, provide strong privacy guarantees, but often
Chen, Xiao+4 more
core +2 more sources
Abstract Purpose The purpose of this study was to collect data on current practices for teaching and assessing professionalism in CAMPEP‐accredited residency programs. Methods A survey of 21 questions was sent to 160 program directors (PDs) of CAMPEP‐accredited residency programs.
Anna Rodrigues+5 more
wiley +1 more source
Composition Properties of Inferential Privacy for Time-Series Data
With the proliferation of mobile devices and the internet of things, developing principled solutions for privacy in time series applications has become increasingly important.
Chaudhuri, Kamalika, Song, Shuang
core +1 more source
Differential Privacy By Sampling [PDF]
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.
arxiv
Abstract Purpose To investigate the feasibility of adapting a commercial prostate biopsy system for transrectal ultrasound (TRUS)‐guided hybrid gynecological (GYN) high‐dose‐rate (HDR) brachytherapy (BT). Leveraging 3D‐TRUS and MR image fusion, the prototype system aims to improve real‐time needle placement accuracy.
Lindsey H. Bloom+8 more
wiley +1 more source
User's Privacy in Recommendation Systems Applying Online Social Network Data, A Survey and Taxonomy
Recommender systems have become an integral part of many social networks and extract knowledge from a user's personal and sensitive data both explicitly, with the user's knowledge, and implicitly.
Aghasian, Erfan+2 more
core +1 more source