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A Countermeasure Method Using Poisonous Data Against Poisoning Attacks on IoT Machine Learning.

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Title: A Countermeasure Method Using Poisonous Data Against Poisoning Attacks on IoT Machine Learning.
Authors: Chiba, Tomoki1, chiba.tomoki@ohsuga.lab.uec.ac.jp, Sei, Yuichi1, seiuny@uec.ac.jp, Tahara, Yasuyuki1, tahara@uec.ac.jp, Ohsuga, Akihiko1, ohsuga@uec.ac.jp
Source: International Journal of Semantic Computing; Jun2021, Vol. 15 Issue 02, p215-240, 26p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 151268068
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=151268068
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      – Type: doi
        Value: 10.1142/S1793351X21400043
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      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 215
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      – TitleFull: A Countermeasure Method Using Poisonous Data Against Poisoning Attacks on IoT Machine Learning.
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            NameFull: Chiba, Tomoki
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            NameFull: Sei, Yuichi
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            NameFull: Tahara, Yasuyuki
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            – D: 01
              M: 06
              Text: Jun2021
              Type: published
              Y: 2021
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              Value: 15
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              Value: 02
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