Searched for: subject%3A%22Homomorphic%255C%2BEncryption%22
(1 - 19 of 19)
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Keijzer, T. (author)
Without us realizing it, solutions for safety and security are present all around us. However, everyone has undoubtedly also experienced how inconvenient some safety and security measures can be. For example, think about security checks at the airport, the need to wear a bicycle helmet, or being asked to perform 2-factor authentication to log...
doctoral thesis 2023
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Zhou, Junwei (author), Lei, Botian (author), Lang, Huile (author), Panaousis, Emmanouil (author), Liang, K. (author), Xiang, Jianwen (author)
Genotype imputation estimates missing genotypes from the haplotype or genotype reference panel in individual genetic sequences, which boosts the potential of genome-wide association and is essential in genetic data analysis. However, the genetic sequences involve people's privacy, confirming an individual's identification and even disease...
journal article 2023
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Ghavamipour, Ali Reza (author), Turkmen, Fatih (author), Wang, Rui (author), Liang, K. (author)
Synthetic data generation plays a crucial role in many areas where data is scarce and privacy/confidentiality is a significant concern. Generative Adversarial Networks (GANs), arguably one of the most widely used data synthesis techniques, allow for the training of a model (i.e., generator) that can generate real-looking data by playing a min...
conference paper 2023
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Memar Zahedani, Armin (author), Vos, J.V. (author), Erkin, Z. (author)
Double auctions are procedures to trade commodities such as electricity or parts of the wireless spectrum at optimal prices. Buyers and sellers inform the auctioneer what quantity they want to buy or sell at specific prices. The auctioneer aggregates these offers into demand and supply curves and finds the intersection representing the...
conference paper 2023
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Memar Zahedani, Armin (author)
Double Auctions are mechanisms to trade commodities such as electricity or parts of the wireless spectrum at optimal prices. Bidders and sellers simultaneously submit quantity-price pairs to an auctioneer, denoting the quantity they want to buy or sell at specific prices. The auctioneer aggregates the offers into demand and supply curves to...
master thesis 2022
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Stobbe, Pieter (author)
Currently, encryption is part of daily life, from commercial to industrial applications. Secure, long-distance communication is vital to the safe and reliable operation of industrial feedback control. Utilising public networks as a medium is often cost-effective at the risk of a security breach. Current industrial feedback control systems...
master thesis 2022
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Joosen, Floor (author)
Privacy and security are important topics in data aggregation, as companies are aggregating large amounts of sensitive data from their users. The aim of this paper is to improve the security and privacy of data aggregation using smart contracts, homomorphic encryption and post-quantum encryption methods on Hyperledger Fabric. After a literature...
bachelor thesis 2022
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He, Daojing (author), Du, Runmeng (author), Zhu, Shanshan (author), Zhang, Min (author), Liang, K. (author), Chan, Sammy (author)
Data island effectively blocks the practical application of machine learning. To meet this challenge, a new framework known as federated learning was created. It allows model training on a large amount of scattered data owned by different data providers. This article presents a parallel solution for computing logistic regression based on...
journal article 2022
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Stobbe, P.J. (author), Keijzer, T. (author), Ferrari, Riccardo M.G. (author)
Fully Homomorphic Encryption (FHE) has made it possible to perform addition and multiplication operations on encrypted data. Using FHE in control thus has the advantage that control effort for a plant can be calculated remotely without ever decrypting the exchanged information. FHE in its current form is however not practically applicable for...
conference paper 2022
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Vos, J.V. (author), Vos, D.A. (author), Erkin, Z. (author)
Cloud services are an essential part of our digital infrastructure as organizations outsource large amounts of data storage and computations. While organizations typically keep sensitive data in encrypted form at rest, they decrypt it when performing computations, leaving the cloud provider free to observe the data. Unfortunately, access to...
conference paper 2022
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Wang, Xingkai (author), Cao, Zhenfu (author), LIU, Z. (author), Liang, K. (author)
Gordon et al. (TCC 2015) systematically studied the security of Multi-client Verifiable Computation (MVC), in which a set of computationally-weak clients outsource the computation of a general function f over their private inputs to an untrusted server. They introduced the universally composable (UC) security of MVC and proposed a scheme...
conference paper 2022
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Băbeanu, Alexandru (author)
Online advertisement is a multi-billion dollar industry that constitutes a primary source of income for most publishers offering free content on the Web. Online behavioural advertisement refers to the practice of serving targeted ads to online users based on their potential interests. In order to infer these interests, online advertisers...
master thesis 2021
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Vos, Jelle (author)
In our increasingly digital society, we are making a growing amount of data available to computers, networks and third parties. As a consequence, our sensitive data is in danger of getting exposed. The field of multi-party computation attempts to mitigate this by studying protocols that enable parties to perform their operations digitally,...
master thesis 2021
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van der Ende, Dieuwke (author)
Decision-tree evaluation is a widely-used classification approach known for its simplicity and effectiveness. Decision-tree models are shown to be helpful in classifying instances of fraud, malware, or diseases and can be used to make dynamic, flexible access decisions within an access-control system. These applications often require sensitive...
master thesis 2021
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Govers, Jurriaan (author)
This thesis is focused on protecting sensitive data in optimization-based control methods. We propose a novel Privacy-preserving Model Predictive Controller (PMPC) where multiple agents are controlled by an untrusted external coordinator. By using the Paillier additively Homomorphic Encryption (HE) scheme, our PMPC allows the coordinator to...
master thesis 2020
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Helsloot, L.J. (author)
Online advertising is a multi-billion dollar industry, forming one of the primary sources of income for many publishers that offer free web content. Online Behavioural Advertising (OBA), the practice of showing advertisements based on individual users' web browsing behaviours, greatly improves the expected effectiveness of advertisements, and is...
master thesis 2017
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Tillem, G. (author), Erkin, Z. (author), Lagendijk, R.L. (author)
The growing complexity of software with respect to technological advances encourages model-based analysis of software systems for validation and verification. Process mining is one recently investigated technique for such analysis which enables the discovery of process models from event logs collected during software execution. However, the...
conference paper 2017
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Nateghizad, M. (author), Erkin, Z. (author), Lagendijk, R.L. (author)
In smart grids, providing power consumption statistics to the customers and generating recommendations for managing electrical devices are considered to be effective methods that can help to reduce energy consumption. Unfortunately, providing power consumption statistics and generating recommendations rely on highly privacy-sensitive smart...
journal article 2016
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Erkin, Z. (author)
Recent advances in technology provided a suitable environment for the people in which they can benefit from online services in their daily lives. Despite several advantages, online services also constitute serious privacy risks for their users as the main input to algorithms are privacy sensitive such as demographic information, shopping...
doctoral thesis 2010
Searched for: subject%3A%22Homomorphic%255C%2BEncryption%22
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