Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits
The adoption of machine learning solutions is rapidly increasing across all parts of society. As the models grow larger, both training and inference of machine learning models is increasingly outsourced, e.g. to cloud service providers. This means that potentially sensitive data is processed on unt...
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| Main Authors: | Jonas Sander, Sebastian Berndt, Ida Bruhns, Thomas Eisenbarth |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ruhr-Universität Bochum
2024-12-01
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| Series: | Transactions on Cryptographic Hardware and Embedded Systems |
| Subjects: | |
| Online Access: | https://tosc.iacr.org/index.php/TCHES/article/view/11935 |
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