Results 21 to 30 of about 23,477,104 (364)
Data Privacy and Trustworthy Machine Learning [PDF]
IEEE Security and Privacy, 2022 The privacy risks of machine learning models is a major concern when training them on sensitive and personal data. We discuss the tradeoffs between data privacy and the remaining goals of trustworthy machine learning (notably, fairness, robustness, and ...
Martin Strobel, R. Shokri
semanticscholar +1 more source
Sociotechnical safeguards for genomic data privacy
Nature reviews genetics, 2022 Recent developments in a variety of sectors, including health care, research and the direct-to-consumer industry, have led to a dramatic increase in the amount of genomic data that are collected, used and shared.
Zhiyu Wan +5 more
semanticscholar +1 more source
Smart Cities, 2022 The Personal Information Protection Law (PIPL) was launched on 1 November 2021 in China. This article provides a state-of-the-art review of PIPL through a policy analysis.
Igor Calzada
semanticscholar +1 more source
Data Privacy Preservation and Security in Smart Metering Systems
Energies, 2022 Smart meters (SMs) can play a key role in monitoring vital aspects of different applications such as smart grids (SG), alternative currents (AC) optimal power flows, adversarial training, time series data, etc.
Mohamed S. Abdalzaher +2 more
semanticscholar +1 more source
Government Access to Personal Data and Transnational Interoperability: An Accountability Perspective
Oslo Law Review, 2023 This article applies the principle of ʻaccountabilityʼ to the issue of international transfers of personal data and government requirements for access to that data.
Christopher Docksey, Kenneth Propp
doaj +1 more source
Training Fair Models in Federated Learning without Data Privacy Infringement [PDF]
BigData Congress [Services Society], 2021 Training fair machine learning models becomes more and more important. As many powerful models are trained by collaboration among multiple parties, each holding some sensitive data, it is natural to explore the feasibility of training fair models in ...
Xin Che +4 more
semanticscholar +1 more source
Design and Security Analysis of Cryptosystems
Applied Sciences, 2023 The development of cryptography is closely related to the development of computers [...]
Suhri Kim, Seokhie Hong
doaj +1 more source
WIREs Data Mining and Knowledge Discovery, 2014 Data privacy studies methods, tools, and theory to avoid the disclosure of sensitive information. Its origin is in statistics with the goal to ensure the confidentiality of data gathered from census and questionnaires. The topic was latter introduced in computer science and more particularly in data mining, where due to the large amount of data ...
Vicenç Torra, Guillermo Navarro-Arribas
openaire +5 more sources
Big Data Privacy in Smart Farming: A Review
Sustainability, 2022 Smart farming aims to improve farming using modern technologies and smart devices. Smart devices help farmers to collect and analyze data regarding different aspects of their business.
Mohammad Amiri-Zarandi +3 more
semanticscholar +1 more source
IASSIST Quarterly, 2023 The letter to the Editor is in response to the manuscript by Hertzog et al. (2023) titled "Data management instruments to Protect the personal information of Children and Adolescents in sub-Saharan Africa." The letter elaborates on personal data ...
J.H. Smith, JS Horne
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