Primer: Fast Private Transformer Inference on Encrypted Data

It is increasingly important to enable privacy-preserving inference for cloud services based on Transformers. Post-quantum cryptographic techniques, e.g., fully homomorphic encryption (FHE), and multi-party computation (MPC), are popular methods to support private Transformer inference. However, exi...

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Bibliographic Details

Published in:	2023 60th ACM/IEEE Design Automation Conference (DAC) pp. 1 - 6
Main Authors:	Zheng, Mengxin, Lou, Qian, Jiang, Lei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.07.2023
Subjects:	Computational modeling Cryptographic Protocol Cryptography Design automation Fully Homomorphic Encryption Multi-party computation Natural language processing Private Inference Solids Transformer Transformers
Online Access:	Get full text
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