Results 61 to 70 of about 1,487,229 (359)
BLAZE: Blazing Fast Privacy-Preserving Machine Learning [PDF]
IACR Cryptology ePrint Archive, 2020 Machine learning tools have illustrated their potential in many significant sectors such as healthcare and finance, to aide in deriving useful inferences.
A. Patra, Ajith Suresh
semanticscholar +1 more source
Privacy-Preserving Loyalty Programs [PDF]
, 2015 Presented at the 9th DPM International Workshop on Data Privacy Management (DPM 2014, held on Sep. 10, 2014).
Alberto Blanco-Justicia +1 more
openaire +3 more sources
Secure Outsourcing Algorithm of BTC Feature Extraction in Cloud Computing
IEEE Access, 2020 Advances in cloud computing have aroused many researchers' interest in privacy-preserving feature extraction over outsourced multimedia data, especially private image data. Since block truncation coding (BTC) is known as a simple and efficient technology
Mingfang Jiang, Hengfu Yang
doaj +1 more source
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization
IEEE Transactions on Mobile Computing, 2021 Federated learning (FL), as a type of collaborative machine learning framework, is capable of preserving private data from mobile terminals (MTs) while training the data into useful models.
Kang Wei +6 more
semanticscholar +1 more source
Privacy preserving vertical federated learning for tree-based models [PDF]
Proceedings of the VLDB Endowment, 2020 Federated learning (FL) is an emerging paradigm that enables multiple organizations to jointly train a model without revealing their private data to each other.
Yuncheng Wu +4 more
semanticscholar +1 more source
, 2018 Ensuring differential privacy of models learned from sensitive user data is an important goal that has been studied extensively in recent years. It is now known that for some basic learning problems, especially those involving high-dimensional data, producing an accurate private model requires much more data than learning without privacy.
Cynthia Dwork, Vitaly Feldman
openaire +3 more sources
IEEE Access, 2019 Recent years have witnessed that the new mobility Intelligent Transportation System is booming, especially the development of Vehicular Ad Hoc Networks (VANETs). It brings convenience and a good experience for drivers. Unfortunately, VANETs are suffering
Libing Wu +7 more
doaj +1 more source
Mathematics, 2022 The rapid development of the Internet of Things (IoT), big data and artificial intelligence (AI) technology has brought extensive IoT services to entities. However, most IoT services carry the risk of leaking privacy.
Bai Liu +4 more
doaj +1 more source
Nature Communications, 2021 Using real-world evidence in biomedical research, an indispensable complement to clinical trials, requires access to large quantities of patient data that are typically held separately by multiple healthcare institutions.
D. Froelicher +8 more
semanticscholar +1 more source
An Overview on Privacy Preserving Biometrics [PDF]
, 2011 The Internet has consolidated itself as a very powerful platform that has changed the communication and business way. Nowadays, the number of users navigating through Internet is about 1,552 millions according to Internet World Stats. This large audience demands online commerce, e-government, knowledge sharing, social networks, online gaming ...
Belguechi, Rima +4 more
openaire +4 more sources