Results 11 to 20 of about 22,742,798 (333)
Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction [PDF]
IEEE Transactions on Information Forensics and Security, 2022 Split learning (SL) enables data privacy preservation by allowing clients to collaboratively train a deep learning model with the server without sharing raw data.
Ngoc Duy Pham +4 more
semanticscholar +1 more source
Data & Policy, 2022 The present paper, which composes a broader research agenda developed by Data Privacy Brasil Research Association, aims to conduct a descriptive and qualitative study of the Brazilian National Identity System through a data protection and data justice ...
Bruno Bioni +3 more
doaj +1 more source
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
PharmaLedger: Blockchain-Enabled Healthcare: Privacy-Enhancement with Blockchain
Blockchain in Healthcare Today, 2022 Topics such as supply chain, clinical trials and health data will be explored along with how blockchian can exist in harmony with GDPR.
Halid Kayhan, Co-lead for Regulatory, Legal and Data Privacy Framework, PharmaLedger
doaj +1 more source
A Privacy-Preserving Scheme for Smart Grid Using Trusted Execution Environment
IEEE Access, 2023 The increasing transformation from the legacy power grid to the smart grid brings new opportunities and challenges to power system operations. Bidirectional communications between home-area devices and the distribution system empower smart grid ...
Mete Akgun +2 more
doaj +1 more source
European Journal of Privacy Law & Technologies, 2022 The technological revolution in the fields of robotics and artificial intelligence seems to indicate a future shift in our human-centered social paradigm towards a greater inclusion of artificial cognitive agents in our everyday environments ...
Sergio Guida
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 +6 more sources
Big Data and Cognitive Computing, 2023 Infectious diseases take a large toll on the global population, not only through risks of illness but also through economic burdens and lifestyle changes.
Alice Wang +4 more
doaj +1 more source
Automatic Assessment of Privacy Policies under the GDPR
Applied Sciences, 2021 To comply with the EU General Data Protection Regulation (GDPR), companies managing personal data have been forced to review their privacy policies. However, privacy policies will not solve any problems as long as users do not read or are not able to ...
David Sánchez +2 more
doaj +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