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Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
IEEE Transactions on Information Forensics and Security, 2018We present a privacy-preserving deep learning system in which many learning participants perform neural network-based deep learning over a combined dataset of all, without revealing the participants’ local data to a central server.
L. T. Phong +4 more
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Privacy and the Right to Privacy
Philosophy, 1980The right to privacy is one of the rights most widely demanded today. Privacy has not always so been demanded. The reasons for the present concern for privacy are complex and obscure. They obviously relate both to the possibilities for very considerable enjoyment of privacy by the bulk of people living in affluent societies brought about by twentieth ...
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Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT
IEEE Transactions on Industrial Informatics, 2020The rapid increase in the volume of data generated from connected devices in industrial Internet of Things paradigm, opens up new possibilities for enhancing the quality of service for the emerging applications through data sharing. However, security and
Yunlong Lu +4 more
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An Extended Privacy Calculus Model for E-Commerce Transactions
Information systems research, 2006While privacy is a highly cherished value, few would argue with the notion that absolute privacy is unattainable. Individuals make choices in which they surrender a certain degree of privacy in exchange for outcomes that are perceived to be worth the ...
Tamara Dinev, Paul J. Hart
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Blockchain for IoT security and privacy: The case study of a smart home
2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2017Internet of Things (IoT) security and privacy remain a major challenge, mainly due to the massive scale and distributed nature of IoT networks. Blockchain-based approaches provide decentralized security and privacy, yet they involve significant energy ...
A. Dorri +3 more
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LDP-Fed: federated learning with local differential privacy
EdgeSys@EuroSys, 2020This paper presents LDP-Fed, a novel federated learning system with a formal privacy guarantee using local differential privacy (LDP). Existing LDP protocols are developed primarily to ensure data privacy in the collection of single numerical or ...
Stacey Truex +4 more
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IEEE Transactions on Dependable and Secure Computing, 2018
Smart grids equipped with bi-directional communication flow are expected to provide more sophisticated consumption monitoring and energy trading. However, the issues related to the security and privacy of consumption and trading data present serious ...
Nurzhan Zhumabekuly Aitzhan +1 more
semanticscholar +1 more source
Smart grids equipped with bi-directional communication flow are expected to provide more sophisticated consumption monitoring and energy trading. However, the issues related to the security and privacy of consumption and trading data present serious ...
Nurzhan Zhumabekuly Aitzhan +1 more
semanticscholar +1 more source
Information Systems Security, 2000
Abstract I would be willing to bet that since the beginning of communication, back in prehistoric times, there have always been things that were meant to be kept private. From the location of the best fishing spot to a secret passage into the cave next door, certain facts have been reserved only for a few knowledgeable friends.
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Abstract I would be willing to bet that since the beginning of communication, back in prehistoric times, there have always been things that were meant to be kept private. From the location of the best fishing spot to a secret passage into the cave next door, certain facts have been reserved only for a few knowledgeable friends.
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2017
The increasing digitalization of the economy and advances in data processing have drawn economists' attention to the role of personal data in markets. The economics of privacy aims to analyze how individuals, firms, and policymakers interact in markets where personal data play a key role. The complexity of these markets is challenging for academics who
Cecere, Grazia +3 more
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The increasing digitalization of the economy and advances in data processing have drawn economists' attention to the role of personal data in markets. The economics of privacy aims to analyze how individuals, firms, and policymakers interact in markets where personal data play a key role. The complexity of these markets is challenging for academics who
Cecere, Grazia +3 more
openaire +5 more sources
2023
In this chapter, Macnish and Asgarinia introduce current thinking and debate around issues of privacy as these relate to the media. Starting with controversies over the definition of privacy, they consider what the content of privacy should be and why it is we consider privacy to be valuable.
Fox, Carl +3 more
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In this chapter, Macnish and Asgarinia introduce current thinking and debate around issues of privacy as these relate to the media. Starting with controversies over the definition of privacy, they consider what the content of privacy should be and why it is we consider privacy to be valuable.
Fox, Carl +3 more
openaire +2 more sources