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A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards

Overview of attention for article published in arXiv, July 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
146 news outlets
blogs
7 blogs
twitter
795 X users
wikipedia
1 Wikipedia page
reddit
6 Redditors
q&a
1 Q&A thread
video
1 YouTube creator

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
23 Mendeley
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Title
A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards
Published in
arXiv, July 2023
DOI 10.1109/eurospw59978.2023.00034
Authors

Joshua Harrison, Ehsan Toreini, Maryam Mehrnezhad

X Demographics

X Demographics

The data shown below were collected from the profiles of 795 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 13%
Student > Ph. D. Student 2 9%
Other 2 9%
Student > Bachelor 2 9%
Unspecified 1 4%
Other 0 0%
Unknown 13 57%
Readers by discipline Count As %
Computer Science 4 17%
Engineering 2 9%
Psychology 1 4%
Business, Management and Accounting 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 13 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1710. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2024.
All research outputs
#6,606
of 26,588,548 outputs
Outputs from arXiv
#54
of 1,011,897 outputs
Outputs of similar age
#195
of 378,876 outputs
Outputs of similar age from arXiv
#5
of 30,547 outputs
Altmetric has tracked 26,588,548 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,011,897 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 378,876 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 30,547 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.