DeepIvy: Toward Accelerator-Speed Secure Model Inference via CPU-Side TEEs
Kunbei Cai, Md Hafizul Islam Chowdhuryy, Wujie Wen, Fan Yao
2026年份
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
相关 Paper
- Mitigating Ciphertext Side-Channel Attacks against TEE-Shielded Neural NetworksQianhui Dai, Zhen Huang, Guoxing Chen, Yan Meng 等CCS 2026
- ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural NetworksZhichuang Sun, Ruimin Sun, Changming Liu, Amrita Roy Chowdhury 等S&P 2023
- SoK: Analysis of Accelerator TEE DesignsChenxu Wang, Junjie Huang, Yujun Liang, Xuanyao Peng 等NDSS 2026 · 被引用 2 次
- TEEM³: Core-Independent and Cooperating Trusted Execution EnvironmentsNils Asmussen, Sebastian Haas, Carsten Weinhold, Nicholas Gordon 等ASPLOS 2026
- Guardain: Protecting Emerging Generative AI Workloads on Heterogeneous NPUAritra Dhar, Clément Thorens, Lara Magdalena Lazier, Lukas CavigelliS&P 2025
