The security of machine learning in an adversarial setting: A survey is a research paper published in Journal of Parallel and Distributed Computing (2019). On theSindex it has a DataRank of 0.796. It has been cited 201 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — 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 — never from an abstract alone.
Base Score Contribution
0.796
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 →National Natural Science Foundation of China
Grant: 61472091
National Natural Science Foundation of China
Grant: 61370194
Natural Science Foundation of Guangdong Province, China
Grant: 2014A030306020
Guangzhou Scholars Project for Universities of Guangzhou, China
Grant: 1201561613
Science and Technology Planning Project of Guangdong Province, China
Grant: 2015B010129015
National Natural Science Foundation for Outstanding Youth Foundation, China
Grant: 61722203
National Key R&D Program of China
Grant: 2016YFN0800602
Shandong Provincial Key R&D Program of China
Grant: 2018CXGC0701
JSPS
Grant: JP15K00028
FWCI
16.46
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords