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20232026
most citedSecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC

2 citations · 2 across the 5 of their papers we have counts for

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cs.CR2023

EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection

Xin Mu, Yu Wang, Zhengan Huang +4

In the rapidly growing digital economy, protecting intellectual property (IP) associated with digital products has become increasingly important. Within this context, machine learn…

cs.LG2023

Model Provenance via Model DNA

Xin Mu, Yu Wang, Yehong Zhang +4

Understanding the life cycle of the machine learning (ML) model is an intriguing area of research (e.g., understanding where the model comes from, how it is trained, and how it is…