Evasion Attack and Defense On Machine Learning Models in Cyber-Physical Systems: A Survey
- Publisher:
- Institute of Electrical and Electronics Engineers (IEEE)
- Publication Type:
- Journal Article
- Citation:
- IEEE Communications Surveys & Tutorials, 2024, PP, (99), pp. 1-1
- Issue Date:
- 2024
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
24‘ IEEE COMMUNICATIONS SURVEYS & TUTORIALS Evasion Attack Survey.pdf | Accepted version | 3.86 MB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, S | |
dc.contributor.author | Ko, RKL | |
dc.contributor.author | Bai, G | |
dc.contributor.author | Dong, N | |
dc.contributor.author | Choi, T | |
dc.contributor.author |
Zhang, Y https://orcid.org/0000-0001-5611-3483 |
|
dc.date.accessioned | 2024-02-01T01:03:20Z | |
dc.date.available | 2024-02-01T01:03:20Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | IEEE Communications Surveys & Tutorials, 2024, PP, (99), pp. 1-1 | |
dc.identifier.issn | 1553-877X | |
dc.identifier.issn | 1553-877X | |
dc.identifier.uri | http://hdl.handle.net/10453/175184 | |
dc.language | en | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.ispartof | IEEE Communications Surveys & Tutorials | |
dc.relation.isbasedon | 10.1109/comst.2023.3344808 | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | 0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies | |
dc.subject.classification | 4006 Communications engineering | |
dc.subject.classification | 4606 Distributed computing and systems software | |
dc.title | Evasion Attack and Defense On Machine Learning Models in Cyber-Physical Systems: A Survey | |
dc.type | Journal Article | |
utslib.citation.volume | PP | |
utslib.for | 0805 Distributed Computing | |
utslib.for | 0906 Electrical and Electronic Engineering | |
utslib.for | 1005 Communications Technologies | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science | |
utslib.copyright.status | closed_access | * |
dc.date.updated | 2024-02-01T01:03:18Z | |
pubs.issue | 99 | |
pubs.publication-status | Published | |
pubs.volume | PP | |
utslib.citation.issue | 99 |
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