InferONNX: Practical and Privacy-Preserving Machine Learning Inference Using Trusted Execution Environments
- 10 July 2025
- book chapter
- Published by Springer Nature
- p. 25-43
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- An introduction to Deep Learning in Natural Language Processing: Models, techniques, and toolsNeurocomputing, 2022
- Confidential Machine Learning Computation in Untrusted Environments: A Systems Security PerspectiveIEEE Access, 2021
- MLCapsule: Guarded Offline Deployment of Machine Learning as a Service2021
- A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issuesJournal of Biomedical Informatics, 2021
- Comparative analysis of image classification algorithms based on traditional machine learning and deep learningPattern Recognition Letters, 2021
- Automatic speech recognition: a surveyMultimedia Tools and Applications, 2020
- The Million Dollar Handshake: Secure and Attested Communications in the Cloud2020
- SgxPectre: Stealing Intel Secrets from SGX Enclaves Via Speculative Execution2019
- Fast Homomorphic Evaluation of Deep Discretized Neural Networks2018
- Distributed Large Scale Privacy-Preserving Deep Mining2018