DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments

12 April 2020

Fan Mo

Ali Shahin Shamsabadi

Kleomenis Katevas

Soteris Demetriou

Ilias Leontiadis

Andrea Cavallaro

Hamed Haddadi

FedML

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Papers citing "DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments"

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Title
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
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 69 1 0 25 Jun 2024
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices Xueshuo Xie Haoxu Wang Zhaolong Jian Tao Li Wei Wang Zhiwei Xu Gui-Ping Wang 44 2 0 19 Mar 2024
All Rivers Run to the Sea: Private Learning with Asymmetric Flows Yue Niu Ramy E. Ali Saurav Prakash Salman Avestimehr FedML 33 2 0 05 Dec 2023
Edge Deep Learning Model Protection via Neuron Authorization Jinyin Chen Haibin Zheng Tianming Liu Rongchang Li Yao Cheng Xuhong Zhang S. Ji FedML 29 0 0 22 Mar 2023
The Future of Consumer Edge-AI Computing Stefanos Laskaridis Stylianos I. Venieris Alexandros Kouris Rui Li Nicholas D. Lane 47 8 0 19 Oct 2022
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems Emna Baccour A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 30 12 0 27 Aug 2022
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone Aghiles Ait Messaoud Sonia Ben Mokhtar Vlad Nitu V. Schiavoni FedML 6 16 0 11 Aug 2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware H. Hashemi Yongqin Wang M. Annavaram FedML 26 58 0 30 Jun 2022
Edge Security: Challenges and Issues Xin Jin Charalampos Katsis Fan Sang Jiahao Sun A. Kundu Ramana Rao Kompella 47 8 0 14 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Private delegated computations using strong isolation Mathias Brossard Guilhem Bryant Basma El Gaabouri Xinxin Fan Alexandre Ferreira ... Dominic P. Mulligan Nick Spinale Eric van Hensbergen Hugo J. M. Vincent Shale Xiong 26 4 0 06 May 2022
MixNN: A design for protecting deep learning models Chao Liu Hao Chen Yusen Wu Rui Jin 10 0 0 28 Mar 2022
Distributed data analytics Richard Mortier Hamed Haddadi S. S. Rodríguez Liang Wang 29 2 0 26 Mar 2022
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributes C. Li Andrea Cavallaro PICV 14 0 0 05 Mar 2022
Towards Battery-Free Machine Learning and Inference in Underwater Environments Yuchen Zhao Sayed Saad Afzal Waleed Akbar Osvy Rodriguez Fan Mo David E. Boyle Fadel M. Adib Hamed Haddadi 3DV 27 19 0 16 Feb 2022
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective Kha Dinh Duy Taehyun Noh Siwon Huh Hojoon Lee 56 9 0 05 Nov 2021
Minimum Viable Device Drivers for ARM TrustZone Liwei Guo F. Lin 24 18 0 15 Oct 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 19 42 0 25 May 2021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device Mario Almeida Stefanos Laskaridis Stylianos I. Venieris Ilias Leontiadis Nicholas D. Lane 17 36 0 20 Apr 2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation Ilias Leontiadis Stefanos Laskaridis Stylianos I. Venieris Nicholas D. Lane 65 29 0 02 Feb 2021
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018