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Https://dblp.org/rec/journals/tse/ZhuWHLX24
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https://dblp.org/rec/journals/tse/ZhuWHLX24
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https://dblp.org/rdf/schema#documentPage https://doi.org/10.1109/TSE.2023.3348515 +
https://dblp.org/rdf/schema#doi https://doi.org/10.1109/TSE.2023.3348515 + , http://dx.doi.org/10.1109/TSE.2023.3348515 +
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https://dblp.org/rdf/schema#monthOfPublication --03
https://dblp.org/rdf/schema#numberOfCreators 5
https://dblp.org/rdf/schema#pagination 376-390
https://dblp.org/rdf/schema#primaryDocumentPage https://doi.org/10.1109/TSE.2023.3348515 +
https://dblp.org/rdf/schema#publishedIn IEEE Trans. Software Eng.
https://dblp.org/rdf/schema#publishedInJournal IEEE Trans. Software Eng.
https://dblp.org/rdf/schema#publishedInJournalVolume 50
https://dblp.org/rdf/schema#publishedInJournalVolumeIssue 3
https://dblp.org/rdf/schema#title Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression Against Heterogeneous Attacks Toward AI Software Deployment.
https://dblp.org/rdf/schema#yearOfPublication 2024
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rdfs:label Jie Zhu et al.: Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression Against Heterogeneous Attacks Toward AI Software Deployment. (2024)
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