SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud

30 June 2017

Papers citing "SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud"

10 / 10 papers shown

Title
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 105 1 0 25 Jun 2024
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices Han Zhang Zifan Wang Mihir Dhamankar Matt Fredrikson Yuvraj Agarwal 89 2 0 02 Jun 2024
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 89 474 0 11 Nov 2016
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods A. Gautier Quynh N. Nguyen Matthias Hein 120 32 0 28 Oct 2016
Convexified Convolutional Neural Networks Yuchen Zhang Percy Liang Martin J. Wainwright 147 65 0 04 Sep 2016
On the Computational Efficiency of Training Neural Networks Roi Livni Shai Shalev-Shwartz Ohad Shamir 146 480 0 05 Oct 2014
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 165 2,119 0 21 Dec 2013
Time-Optimal Interactive Proofs for Circuit Evaluation J. Thaler 77 224 0 13 Apr 2013
Maxout Networks Ian Goodfellow David Warde-Farley M. Berk Mirza Aaron Courville Yoshua Bengio OOD 243 2,179 0 18 Feb 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks Matthew D. Zeiler Rob Fergus 193 989 0 16 Jan 2013