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Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-016-3922-4
Abstract: AbstractAt present, most of privacy preserving approaches in data publishing are applied to single sensitive attribute. However, applying single-sensitive-attribute privacy preserving techniques directly into data with multiple sensitive attributes often causes leakage of large amount…
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Keywords:
sensitive attributes;
multiple sensitive;
algorithm individuation;
individuation anonymity ... See more keywords
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Published in 2018 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2018.09.013
Abstract: Abstract Privacy Preserving Data Publishing (PPDP) is an important aspect of real world scenarios. PPDP moves the researcher in the right direction by maintaining privacy and utility trade-off while publishing the data. This paper presents…
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Keywords:
sensitive attributes;
multiple sensitive;
privacy;
slice model ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3547410
Abstract: This article introduces compact battery-less wireless radio frequency (RF) sensors using fractal-shaped electromagnetic surfaces. Fractal structures allow a compact total size of $0.75\lambda _{{0}} \times 0.75\lambda _{{0}}$ at 2.9 GHz. In conventional sensors based on…
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Keywords:
selective surface;
multiple sensitive;
fractal shaped;
frequency ... See more keywords
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Published in 2025 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2024.3479702
Abstract: In this article, we introduce FairLPG, a framework for ensuring fairness for the task of link prediction in graphs with multiple sensitive attributes. In the context of link prediction in graphs, the fairness notions of…
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Keywords:
prediction;
fair link;
sensitive attributes;
link prediction ... See more keywords
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Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3384181
Abstract: While existing fairness interventions show promise in mitigating biased predictions, most studies concentrate on single-attribute protections. Although a few methods consider multiple attributes, they either require additional constraints or prediction heads, incurring high computational overhead…
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Keywords:
information;
fairness multiple;
multifair model;
sensitive attributes ... See more keywords
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Published in 2018 at "Theranostics"
DOI: 10.7150/thno.24480
Abstract: As important modulators of gene expression, microRNAs (miRNAs) have been identified as promising biomarkers with powerful predictive value in diagnosis and prognosis for several diseases, especially for cancers. Here we report a facile, multiple and…
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Keywords:
catalytic hairpin;
detection;
gel assay;
hairpin assembly ... See more keywords