2024
Nimbus: Secure and Efficient Two-Party Inference for Transformers
NeurIPS 2024poster
Transformer models have gained significant attention due to their power in machine learning tasks. Their extensive deployment has raised concerns about the potential leakage of sensitive information during inference. However, when being applied to Transformers, existing approaches based on secure tw…