Matches in SemOpenAlex for { <https://semopenalex.org/work/W2611104958> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W2611104958 abstract "A sensor network wishes to transmit information to a fusion center to allow it to detect a public hypothesis, but at the same time prevent it from inferring a private hypothesis. We propose a multilayer sensor network structure, where each sensor first applies a nonlinear fusion function on the information it receives from sensors in a previous layer, and then a linear weighting matrix to distort the information it sends to sensors in the next layer. We adopt a nonparametric approach and develop an algorithm to optimize the weighting matrices so as to ensure that the regularized empirical risk of detecting the private hypothesis is above a given privacy threshold, while minimizing the regularized empirical risk of detecting the public hypothesis. Simulations on a synthetic dataset and an empirical experiment demonstrate that our approach is able to achieve a better trade-off between the error rates of the public and private hypothesis than using only linear precoding to achieve information privacy." @default.
- W2611104958 created "2017-05-12" @default.
- W2611104958 creator A5046850399 @default.
- W2611104958 creator A5079883088 @default.
- W2611104958 date "2017-03-01" @default.
- W2611104958 modified "2023-09-25" @default.
- W2611104958 title "Multilayer sensor network for information privacy" @default.
- W2611104958 cites W1601684460 @default.
- W2611104958 cites W2016384870 @default.
- W2611104958 cites W2069458187 @default.
- W2611104958 cites W2074006684 @default.
- W2611104958 cites W2083026317 @default.
- W2611104958 cites W2092214308 @default.
- W2611104958 cites W2095818990 @default.
- W2611104958 cites W2115915204 @default.
- W2611104958 cites W2136394324 @default.
- W2611104958 cites W2146414958 @default.
- W2611104958 cites W2160815625 @default.
- W2611104958 cites W2170577408 @default.
- W2611104958 cites W2394738186 @default.
- W2611104958 cites W2520571093 @default.
- W2611104958 cites W4230674625 @default.
- W2611104958 cites W4231109964 @default.
- W2611104958 cites W2011778831 @default.
- W2611104958 doi "https://doi.org/10.1109/icassp.2017.7953309" @default.
- W2611104958 hasPublicationYear "2017" @default.
- W2611104958 type Work @default.
- W2611104958 sameAs 2611104958 @default.
- W2611104958 citedByCount "16" @default.
- W2611104958 countsByYear W26111049582017 @default.
- W2611104958 countsByYear W26111049582018 @default.
- W2611104958 countsByYear W26111049582019 @default.
- W2611104958 countsByYear W26111049582020 @default.
- W2611104958 countsByYear W26111049582021 @default.
- W2611104958 countsByYear W26111049582022 @default.
- W2611104958 countsByYear W26111049582023 @default.
- W2611104958 crossrefType "proceedings-article" @default.
- W2611104958 hasAuthorship W2611104958A5046850399 @default.
- W2611104958 hasAuthorship W2611104958A5079883088 @default.
- W2611104958 hasConcept C108827166 @default.
- W2611104958 hasConcept C123201435 @default.
- W2611104958 hasConcept C38652104 @default.
- W2611104958 hasConcept C41008148 @default.
- W2611104958 hasConcept C509729295 @default.
- W2611104958 hasConceptScore W2611104958C108827166 @default.
- W2611104958 hasConceptScore W2611104958C123201435 @default.
- W2611104958 hasConceptScore W2611104958C38652104 @default.
- W2611104958 hasConceptScore W2611104958C41008148 @default.
- W2611104958 hasConceptScore W2611104958C509729295 @default.
- W2611104958 hasLocation W26111049581 @default.
- W2611104958 hasOpenAccess W2611104958 @default.
- W2611104958 hasPrimaryLocation W26111049581 @default.
- W2611104958 hasRelatedWork W2182029211 @default.
- W2611104958 hasRelatedWork W2626037032 @default.
- W2611104958 hasRelatedWork W2790147482 @default.
- W2611104958 hasRelatedWork W2888854470 @default.
- W2611104958 hasRelatedWork W2894066856 @default.
- W2611104958 hasRelatedWork W2982321743 @default.
- W2611104958 hasRelatedWork W3135360054 @default.
- W2611104958 hasRelatedWork W4226389227 @default.
- W2611104958 hasRelatedWork W2187378813 @default.
- W2611104958 hasRelatedWork W2953317663 @default.
- W2611104958 isParatext "false" @default.
- W2611104958 isRetracted "false" @default.
- W2611104958 magId "2611104958" @default.
- W2611104958 workType "article" @default.