TensorSCONE: A Secure TensorFlow Framework using Intel SGX

12 February 2019

Papers citing "TensorSCONE: A Secure TensorFlow Framework using Intel SGX"

22 / 22 papers shown

Assume but Verify: Deductive Verification of Leaked Information in Concurrent Applications (Extended Version)Conference on Computer and Communications Security (CCS), 2023

203

07 Sep 2023

A Survey of Secure Computation Using Trusted Execution Environments

203

23 Feb 2023

Partially Trusting the Service Mesh Control Plane

C. Adam

Abdulhamid A. Adebayo

Hubertus Franke

E. Snible

Tobin Feldman-Fitzthum

James Cadden

Nerla Jean-Louis

23 Oct 2022

Machine Learning with Confidential Computing: A Systematization of KnowledgeACM Computing Surveys (ACM CSUR), 2022

Fan Mo

Zahra Tarkhani

Hamed Haddadi

394

22 Aug 2022

A Comprehensive Benchmark Suite for Intel SGXIEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2022

114

13 May 2022

Private delegated computations using strong isolationIEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2022

...

131

06 May 2022

Confidential Machine Learning Computation in Untrusted Environments: A Systems Security PerspectiveIEEE Access (IEEE Access), 2021

291

05 Nov 2021

3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs

Yue Niu

Ramy E. Ali

Salman Avestimehr

FedML

287

04 Oct 2021

SecFL: Confidential Federated Learning using TEEs

D. Quoc

Christof Fetzer

FedML

187

03 Oct 2021

Physical Fault Injection and Side-Channel Attacks on Mobile Devices: A Comprehensive AnalysisComputers & security (CS), 2021

251

10 May 2021

Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGXACM Symposium on Cloud Computing (SoCC), 2021

204

04 May 2021

secureTF: A Secure TensorFlow FrameworkInternational Middleware Conference (Middleware), 2020

239

20 Jan 2021

ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural NetworksIEEE Symposium on Security and Privacy (IEEE S&P), 2020

314

11 Nov 2020

GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment

Aref Asvadishirehjini

Murat Kantarcioglu

B. Malin

132

17 Oct 2020

S3ML: A Secure Serving System for Machine Learning Inference

107

13 Oct 2020

Binary Compatibility For SGX Enclaves

02 Sep 2020

Differentially private cross-silo federated learning

185

10 Jul 2020

Deep Learning in Mining Biological DataCognitive Computation (Cogn Comput), 2020

M. S. M. Mahmud

M. S. Kaiser

Amir Hussain

AI4CE

213

310

28 Feb 2020

Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile AppsUSENIX Security Symposium (USENIX Security), 2020

223

18 Feb 2020

CryptoSPN: Privacy-preserving Sum-Product Network InferenceEuropean Conference on Artificial Intelligence (ECAI), 2020

147

03 Feb 2020

On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research AgendaIEEE Access (IEEE Access), 2020

Konstantin D. Pandl

Scott Thiebes

Manuel Schmidt-Kraepelin

Ali Sunyaev

242

29 Jan 2020

Secure and Robust Machine Learning for Healthcare: A SurveyIEEE Reviews in Biomedical Engineering (RBME), 2020

260

444

21 Jan 2020