Towards Privacy-Preserving Machine Translation at the Inference Stage: A New Task and Benchmark
Current online translation services require sending user text to cloud servers, posing a risk of privacy leakage when the text contains sensitive information. This risk hinders the application of online translation services in privacy-sensitive scenarios. One way to mitigate this risk for online translation services is introducing privacy protection mechanisms targeting the inference stage of translation models. However, compared to subfields of NLP like text classification and summarization, the machine translation research community has limited exploration of privacy protection during the inference stage. There is no clearly defined privacy protection task for the inference stage, dedic...
| Authors | Wei Shao, Lemao Liu, Yinqiao Li et al. |
|---|---|
| Primary category | cs.CL |
| Published | 16 March 2026 |
| Last updated at source | 16 March 2026 |
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