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Proceedings of the Sixth ACM Conference on Data and Application Security and Privacy

https://doi.org/10.1145/2857705
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inferred← citeshttps://doi.org/10.1016/j.asej.2021.03.026openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asoc.2019.105798openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chbr.2021.100132openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.comcom.2019.05.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.conengprac.2020.104350openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2017.10.010openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2018.01.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2018.01.013openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2018.02.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2018.05.013openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2018.06.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2019.101699openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2020.101740openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2020.101873openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2020.101895openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2020.101921openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2021.102308openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2021.102399openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2023.103213openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2023.103341openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2023.103697openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2024.103714openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2024.103801openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2024.103903openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2024.104187openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cose.2025.104495openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cosrev.2022.100529openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.csi.2017.09.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.csi.2025.104011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.dcan.2020.04.007openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.diin.2017.10.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.diin.2018.04.022openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eij.2022.12.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108296openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2019.113022openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2019.113091openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117957openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120429openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121865openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fsidi.2023.301564openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2017.06.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2019.02.029openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2022.04.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jisa.2020.102661openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jisa.2021.102828openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jisa.2021.102949openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jisa.2023.103467openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jisa.2024.103718openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jksuci.2017.01.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jlamp.2016.08.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jnca.2018.01.008openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jnca.2018.01.011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jnca.2019.102526openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jnca.2020.102807openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.08.007openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sysarc.2019.01.017openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sysarc.2020.101876openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.sysarc.2024.103101openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.vehcom.2019.100201openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3338466.3358926openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3733103openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/1550147716686578openalex-snapshot
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inferred← citeshttps://doi.org/10.4108/eai.14-9-2021.170956openalex-snapshot
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inferred← citeshttps://doi.org/10.54014/2g3s-mf9jopenalex-snapshot
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inferred← citeshttps://doi.org/10.6025/jdim/2022/20/4/115-130openalex-snapshot
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