No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN
Partition for On-Device ML

No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML

11 October 2023

Papers citing "No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML"

10 / 10 papers shown

Title
An Early Experience with Confidential Computing Architecture for On-Device Model Protection Sina Abdollahi Mohammad Maheri S. Siby Marios Kogias Hamed Haddadi 31 0 0 11 Apr 2025
DITING: A Static Analyzer for Identifying Bad Partitioning Issues in TEE Applications Chengyan Ma Ruidong Han Ye Liu Yuqing Niu Di Lu Chuang Tian Jianfeng Ma Debin Gao David Lo 57 0 0 24 Feb 2025
Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment Ruyi Ding Tianhong Xu A. A. Ding Yunsi Fei FedML 36 0 0 20 Feb 2025
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Ding Li Ziqi Zhang Mengyu Yao Y. Cai Yao Guo Xiangqun Chen FedML 32 2 0 15 Nov 2024
CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment Qinfeng Li Yangfan Xie Tianyu Du Zhiqiang Shen Zhenghan Qin Hao Peng Xinkui Zhao Xianwei Zhu Jianwei Yin Xuhong Zhang 15 2 0 16 Oct 2024
Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads Aritra Dhar Clément Thorens Lara Magdalena Lazier Lukas Cavigelli 41 1 0 16 Jul 2024
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 64 1 0 25 Jun 2024
TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment Qinfeng Li Zhiqiang Shen Zhenghan Qin Yangfan Xie Xuhong Zhang Tianyu Du Jianwei Yin 24 8 0 17 Apr 2024
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models Shagufta Mehnaz S. V. Dibbo Ehsanul Kabir Ninghui Li E. Bertino MIACV 29 60 0 23 Jan 2022
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 112 395 0 08 Jun 2018