Offline Model Guard: Secure and Private ML on Mobile Devices

Offline Model Guard: Secure and Private ML on Mobile Devices

5 July 2020

Sebastian P. Bayerl

Tommaso Frassetto

Patrick Jauernig

Korbinian Riedhammer

Christian Weinert

ArXiv (abs)PDF HTML

Papers citing "Offline Model Guard: Secure and Private ML on Mobile Devices"

13 / 13 papers shown

Title
Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective Christian Cabrera Andrei Paleyes Pierre Thodoroff Neil D. Lawrence AI4TS AI4CE OOD 62 7 0 09 Feb 2023
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 108 34 0 18 Dec 2022
Understanding Real-world Threats to Deep Learning Models in Android Apps Zizhuang Deng Kai Chen Guozhu Meng Xiaodong Zhang Ke Xu Yao Cheng AAML 68 29 0 20 Sep 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 94 10 0 22 Aug 2022
Privacy-Preserving Epidemiological Modeling on Mobile Graphs Daniel Gunther Marco Holz B. Judkewitz Helen Mollering Benny Pinkas T. Schneider Ajith Suresh 107 4 0 01 Jun 2022
Trusted Container Extensions for Container-based Confidential Computing Ferdinand Brasser Patrick Jauernig F. Pustelnik A. Sadeghi Emmanuel Stapf 41 13 0 11 May 2022
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective Kha Dinh Duy Taehyun Noh Siwon Huh Hojoon Lee 88 9 0 05 Nov 2021
A Survey on RISC-V Security: Hardware and Architecture Tao Lu 66 39 0 09 Jul 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks Qiao Zhang Chunsheng Xin Hongyi Wu 76 49 0 05 May 2021
LEAP: TrustZone Based Developer-Friendly TEE for Intelligent Mobile Apps Lizhi Sun Shuocheng Wang Hao Wu Yuhang Gong Fengyuan Xu Yunxin Liu Hao Han Sheng Zhong 54 9 0 04 Feb 2021
ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks Zhichuang Sun Ruimin Sun Changming Liu A. Chowdhury Long Lu S. Jha FedML 123 20 0 11 Nov 2020
Trustworthy AI Inference Systems: An Industry Research View Rosario Cammarota M. Schunter Anand Rajan Fabian Boemer Ágnes Kiss ... Aydin Aysu Fateme S. Hosseini Chengmo Yang Eric Wallace Pam Norton 102 14 0 10 Aug 2020
Premium Access to Convolutional Neural Networks Julien Bringer H. Chabanne Linda Guiga HAI 39 0 0 22 May 2020

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