Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability is a research paper published in Lecture notes in computer science (2023). On theSindex it has a DataRank of 0.241. It has been cited 4 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology βNIA NIH HHS
Grant: RF1 AG063481
NIGMS NIH HHS
Grant: R01 GM124111
FWCI
0.65
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals