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pro vyhledávání: '"Gundersen, Jaron Skovsted"'
Autor:
Gundersen, Jaron Skovsted, Christensen, René Bødker, Grassl, Markus, Popovski, Petar, Wisniewski, Rafał
Classical coding theory contains several techniques to obtain new codes from other codes, including puncturing and shortening. For quantum codes, a form of puncturing is known, but its description is based on the code space rather than its generators
Externí odkaz:
http://arxiv.org/abs/2410.17754
Privacy-preserving distributed average consensus has received significant attention recently due to its wide applicability. Based on the achieved performances, existing approaches can be broadly classified into perfect accuracy-prioritized approaches
Externí odkaz:
http://arxiv.org/abs/2312.07947
Autor:
Li, Qiongxiu, Gundersen, Jaron Skovsted, Tjell, Katrine, Wisniewski, Rafal, Christensen, Mads Græsbøll
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 4263-4267
Privacy has become a major concern in machine learning. In fact, the federated learning is motivated by the privacy concern as it does not allow to transmit the private data but only intermediate updates. However, federated learning does not always g
Externí odkaz:
http://arxiv.org/abs/2209.07833
Mutual information $I(X;Y)$ is a useful definition in information theory to estimate how much information the random variable $Y$ holds about the random variable $X$. One way to define the mutual information is by comparing the joint distribution of
Externí odkaz:
http://arxiv.org/abs/2202.00956
A common approach of system identification and machine learning is to generate a model by using training data to predict the test data instances as accurate as possible. Nonetheless, concerns about data privacy are increasingly raised, but not always
Externí odkaz:
http://arxiv.org/abs/2109.11200
Privacy-preserving distributed processing has recently attracted considerable attention. It aims to design solutions for conducting signal processing tasks over networks in a decentralized fashion without violating privacy. Many algorithms can be ado
Externí odkaz:
http://arxiv.org/abs/2009.01098
This work is inspired by the outbreak of COVID-19, and some of the challenges we have observed with gathering data about the disease. To this end, we aim to help collect data about citizens and the disease without risking the privacy of individuals.
Externí odkaz:
http://arxiv.org/abs/2004.14759
Publikováno v:
Finite Fields and Their Applications 62 (2020) 101606
The component-wise or Schur product $C*C'$ of two linear error correcting codes $C$ and $C'$ over certain finite field is the linear code spanned by all component-wise products of a codeword in $C$ with a codeword in $C'$. When $C=C'$, we call the pr
Externí odkaz:
http://arxiv.org/abs/1903.05494
Akademický článek
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Publikováno v:
Cascudo, I & Gundersen, J S 2020, A Secret-Sharing Based MPC Protocol for Boolean Circuits with Good Amortized Complexity . in Theory of Cryptography Conference-18th International Conference, TCC 2020 . vol. 12551, Springer, Lecture Notes in Computer Science, vol. 12551, pp. 652-682, Theory of Cryptography Conference 2020, 16/11/2020 . https://doi.org/10.1007/978-3-030-64378-2_23
We present a new secure multiparty computation protocol in the preprocessing model that allows for the evaluation of a number of instances of a boolean circuit in parallel, with a small online communication complexity per instance of 10 bits per part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::615021013f44dd3be931809809a9c9f2
https://vbn.aau.dk/da/publications/368daf5f-08be-4181-8511-b4ac9936b272
https://vbn.aau.dk/da/publications/368daf5f-08be-4181-8511-b4ac9936b272