Privado: Practical and Secure DNN Inference with Enclaves

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Privado: Practical and Secure DNN Inference with Enclaves

1 October 2018

Ranjita Bhagwan

Ramachandran Ramjee

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Papers citing "Privado: Practical and Secure DNN Inference with Enclaves"

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Title
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 71 13 0 20 Oct 2022
Memory-Efficient Deep Learning Inference in Trusted Execution Environments Jean-Baptiste Truong W. Gallagher Tian Guo R. Walls 27 9 0 30 Apr 2021
Golden Grain: Building a Secure and Decentralized Model Marketplace for MLaaS Jiasi Weng Jian Weng Chengjun Cai Hongwei Huang Cong Wang AI4TS 29 21 0 12 Nov 2020
Elasticlave: An Efficient Memory Model for Enclaves Zhijingcheng Yu Shweta Shinde Trevor E. Carlson Prateek Saxena FedML 47 32 0 16 Oct 2020
Accelerating 2PC-based ML with Limited Trusted Hardware M. Nawaz Aditya Gulati Kunlong Liu Vishwajeet Agrawal P. Ananth Trinabh Gupta 113 2 0 11 Sep 2020
Privacy-Preserving Machine Learning in Untrusted Clouds Made Simple Dayeol Lee Dmitrii Kuvaiskii Anjo Vahldiek-Oberwagner Mona Vij FedML 29 6 0 09 Sep 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 99 14 0 10 Aug 2020
Visor: Privacy-Preserving Video Analytics as a Cloud Service Rishabh Poddar Ganesh Ananthanarayanan Srinath T. V. Setty Stavros Volos Raluca A. Popa 81 64 0 17 Jun 2020
A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices Cong Wang Yanru Xiao Xing Gao Li Li Jun Wang HAI 21 0 0 26 May 2020
MGX: Near-Zero Overhead Memory Protection for Data-Intensive Accelerators Weizhe Hua M. Umar Zhiru Zhang G. E. Suh GNN 93 21 0 20 Apr 2020
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments Fan Mo Ali Shahin Shamsabadi Kleomenis Katevas Soteris Demetriou Ilias Leontiadis Andrea Cavallaro Hamed Haddadi FedML 68 182 0 12 Apr 2020
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps Zhichuang Sun Ruimin Sun Long Lu Alan Mislove 90 81 0 18 Feb 2020
An Off-Chip Attack on Hardware Enclaves via the Memory Bus Dayeol Lee D. Jung Ian T. Fang Chia-Che Tsai Raluca A. Popa 70 97 0 03 Dec 2019
Quantifying (Hyper) Parameter Leakage in Machine Learning Vasisht Duddu D. V. Rao AAML MIACV FedML 67 5 0 31 Oct 2019
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection Anuj Dubey Rosario Cammarota Aydin Aysu AAML 84 79 0 29 Oct 2019
Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices Peter M. VanNostrand Ioannis Kyriazis Michelle Cheng Tian Guo R. Walls FedML 25 29 0 28 Aug 2019
Keystone: An Open Framework for Architecting TEEs Dayeol Lee David Kohlbrenner Shweta Shinde Basel Alomair Krste Asanović 65 48 0 23 Jul 2019