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TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments when Attackers Have Pre-Trained Models.

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Title: TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments when Attackers Have Pre-Trained Models.
Authors: Li, Ding1, ding_li@pku.edu.cn, Zhang, Ziqi1, ziqi_zhang@pku.edu.cn, Yao, Mengyu1, menyuyao@stu.pku.edu.cn, Cai, Yifeng1, caiyifeng@pku.edu.cn, Guo, Yao1, yaoguo@pku.edu.cn, Chen, Xiangqun1, cherry@pku.edu.cn
Source: ACM Transactions on Software Engineering & Methodology; Jul2025, Vol. 34 Issue 6, p1-49, 49p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments when Attackers Have Pre-Trained Models.
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  Data: <searchLink fieldCode="AU" term="%22Li%2C+Ding%22">Li, Ding</searchLink><relatesTo>1</relatesTo>, <i>ding_li@pku.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Ziqi%22">Zhang, Ziqi</searchLink><relatesTo>1</relatesTo>, <i>ziqi_zhang@pku.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Yao%2C+Mengyu%22">Yao, Mengyu</searchLink><relatesTo>1</relatesTo>, <i>menyuyao@stu.pku.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Cai%2C+Yifeng%22">Cai, Yifeng</searchLink><relatesTo>1</relatesTo>, <i>caiyifeng@pku.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Guo%2C+Yao%22">Guo, Yao</searchLink><relatesTo>1</relatesTo>, <i>yaoguo@pku.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Chen%2C+Xiangqun%22">Chen, Xiangqun</searchLink><relatesTo>1</relatesTo>, <i>cherry@pku.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22ACM+Transactions+on+Software+Engineering+%26+Methodology%22">ACM Transactions on Software Engineering & Methodology</searchLink>; Jul2025, Vol. 34 Issue 6, p1-49, 49p
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        Value: 10.1145/3707453
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      – Code: eng
        Text: English
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        PageCount: 49
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      – TitleFull: TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments when Attackers Have Pre-Trained Models.
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              Text: Jul2025
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              Y: 2025
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