Results 11 to 20 of about 1,487,229 (359)
Privacy preserving data visualizations [PDF]
EPJ Data Science, 2021 Data visualizations are a valuable tool used during both statistical analysis and the interpretation of results as they graphically reveal useful information about the structure, properties and relationships between variables, which may otherwise be ...
Demetris Avraam +7 more
doaj +6 more sources
Privacy-Preserving Passive DNS [PDF]
Computers, 2020 The Domain Name System (DNS) was created to resolve the IP addresses of web servers to easily remembered names. When it was initially created, security was not a major concern; nowadays, this lack of inherent security and trust has exposed the global DNS
Pavlos Papadopoulos +4 more
doaj +5 more sources
Privacy-Preserving Blockchain Technologies
Sensors, 2023 The main characteristics of blockchains, such as security and traceability, have enabled their use in many distinct scenarios, such as the rise of new cryptocurrencies and decentralized applications (dApps).
Dalton Cézane Gomes Valadares +4 more
doaj +4 more sources
Privacy-Preserving Adversarial Networks [PDF]
2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2019 We propose a data-driven framework for optimizing privacy-preserving data release mechanisms to attain the information-theoretically optimal tradeoff between minimizing distortion of useful data and concealing specific sensitive information. Our approach
Ishwar, Prakash +2 more
core +2 more sources
Privacy preservation by disassociation [PDF]
Proceedings of the VLDB Endowment, 2012 In this work, we focus on protection against identity disclosure in the publication of sparse multidimensional data. Existing multidimensional anonymization techniques (a) protect the privacy of users either by altering the set of quasi-identifiers of the original data (e.g., by generalization or suppression) or by ...
Terrovitis, M +3 more
openaire +4 more sources
Privacy Preserving Image Registration
Medical Image Analysis, 2022 v4 Accepted at Medical Image Computing and Computer Assisted Intervention (2022) 130 ...
Riccardo Taiello +4 more
openaire +5 more sources
Personalized privacy preservation [PDF]
Proceedings of the 2006 ACM SIGMOD international conference on Management of data, 2006 We study generalization for preserving privacy in publication of sensitive data. The existing methods focus on a universal approach that exerts the same amount of preservation for all persons, with-out catering for their concrete needs. The consequence is that we may be offering insufficient protection to a subset of people, while applying excessive ...
Xiaokui Xiao, Yufei Tao
openaire +2 more sources
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach [PDF]
IEEE Internet of Things Journal, 2020 Existing traffic flow forecasting approaches by deep learning models achieve excellent success based on a large volume of data sets gathered by governments and organizations.
Yi Liu +4 more
semanticscholar +1 more source
Efficient Dropout-Resilient Aggregation for Privacy-Preserving Machine Learning [PDF]
IEEE Transactions on Information Forensics and Security, 2022 Machine learning (ML) has been widely recognized as an enabler of the global trend of digital transformation. With the increasing adoption of data-hungry machine learning algorithms, personal data privacy has emerged as one of the key concerns that could
Ziyao Liu +3 more
semanticscholar +1 more source
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response [PDF]
Conference on Computer and Communications Security, 2014 Randomized Aggregatable Privacy-Preserving Ordinal Response, or RAPPOR, is a technology for crowdsourcing statistics from end-user client software, anonymously, with strong privacy guarantees.
Ú. Erlingsson, A. Korolova, Vasyl Pihur
semanticscholar +1 more source