2 papers
cs.CR2026
SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute
Bowen Shen, Yuyue Chen, Peng Yang +3
Privacy-preserving Transformer inference has gained attention due to the potential leakage of private information. Despite recent progress, existing frameworks still fall short of…
cs.CL2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models
Qian Sun, Hanpeng Wu, Xi Sheryl Zhang
The pretraining and fine-tuning approach has become the leading technique for various NLP applications. However, recent studies reveal that fine-tuning data, due to their sensitive…