TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments when Attackers Have Pre-Trained Models.
Saved in:
| 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 |
| ISSN: | 1049331X |
|---|---|
| DOI: | 10.1145/3707453 |