Results 21 to 30 of about 22,742,798 (333)
KeyNet: An Asymmetric Key-Style Framework for Watermarking Deep Learning Models
Applied Sciences, 2021 Many organizations devote significant resources to building high-fidelity deep learning (DL) models. Therefore, they have a great interest in making sure the models they have trained are not appropriated by others. Embedding watermarks (WMs) in DL models
Najeeb Moharram Jebreel +3 more
doaj +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
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
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
Protecting farmers' data privacy and confidentiality: Recommendations and considerations
Frontiers in Sustainable Food Systems, 2022 With the increasing use of precision agriculture and technological development, the agricultural sector has been majorly transformed. Precision agriculture uses technological innovations such as sensors, drones, and data analysis tools to improve the ...
Jasminal Kaur +3 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
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
Differential Privacy Made Easy [PDF]
, 2022 Data privacy is a major issue for many decades, several techniques have been developed to make sure individuals' privacy but still world has seen privacy failures. In 2006, Cynthia Dwork gave the idea of Differential Privacy which gave strong theoretical guarantees for data privacy.
arxiv +1 more source
Privacy in Data Service Composition [PDF]
IEEE Transactions on Services Computing, 2020 In modern information systems different information features, about the same individual, are often collected and managed by autonomous data collection services that may have different privacy policies. Answering many end-users' legitimate queries requires the integration of data from multiple such services.
Mahmoud Barhamgi +5 more
openaire +7 more sources
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2019 As data privacy increasingly becomes a critical societal concern, federated learning has been a hot research topic in enabling the collaborative training of machine learning models among different organizations under the privacy restrictions.
Q. Li +3 more
semanticscholar +1 more source