Results 111 to 120 of about 1,628,259 (246)

Appsolutely secure? Psychometric properties of the German version of an app information privacy concerns measure during COVID-19. [PDF]

Front Psychol, 2022
Tomczyk S.
europepmc   +1 more source

On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks [PDF]

arXiv, 2018
In a decentralized Internet of Things (IoT) network, a fusion center receives information from multiple sensors to infer a public hypothesis of interest. To prevent the fusion center from abusing the sensor information, each sensor sanitizes its local observation using a local privacy mapping, which is designed to achieve both inference privacy of a ...
arxiv  

Free Speech vs. Information Privacy: Eugene Volokh's First Amendment Jurisprudence [PDF]

, 2000
Paul M. Schwartz
openalex   +1 more source

On the `Semantics' of Differential Privacy: A Bayesian Formulation

, 2015
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.
Kasiviswanathan, Shiva Prasad, Smith, Adam   +1 more
core   +1 more source

Privacy Bills of Materials: A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development [PDF]

arXiv
Privacy regulations mandate that developers must provide authentic and comprehensive privacy notices, e.g., privacy policies or labels, to inform users of their apps' privacy practices. However, due to a lack of knowledge of privacy requirements, developers often struggle to create accurate privacy notices, especially for sophisticated mobile apps with
arxiv  

The Right to Privacy, Informational Privacy and the Right to Information in the Cyberspace [PDF]

Proceedings of the International Scientific Conference - Sinteza 2017, 2017
Ivan Radenković, Vida Vilić
openaire   +2 more sources

Information Extraction Under Privacy Constraints [PDF]

arXiv, 2015
A privacy-constrained information extraction problem is considered where for a pair of correlated discrete random variables $(X,Y)$ governed by a given joint distribution, an agent observes $Y$ and wants to convey to a potentially public user as much information about $Y$ as possible without compromising the amount of information revealed about $X$. To
arxiv  

Final rule on health information privacy issued [PDF]

, 2001
Nancy Tarleton Landis
openalex   +3 more sources

Debate Paper: Privacy, data protection and freedom of information [PDF]

, 2000

openalex   +1 more source

Multimedia information changes the whole privacy ballgame [PDF]

, 2000
Anne Adams
openalex   +1 more source