3 papers
cs.LG2025
Privacy-Preserving Inference for Quantized BERT Models
Tianpei Lu, Bingsheng Zhang, Lekun Peng +3
With the increasing deployment of generative machine learning models in privacy-sensitive domains such as healthcare and personalized services, ensuring secure inference has become…
cs.CR2025
Accelerating Private Large Transformers Inference through Fine-grained Collaborative Computation
Yuntian Chen, Zhanyong Tang, Tianpei Lu +3
Homomorphic encryption (HE) and secret sharing (SS) enable computations on encrypted data, providing significant privacy benefits for large transformer-based models (TBM) in sensit…
cs.CR2024
The Communication-Friendly Privacy-Preserving Machine Learning against Malicious Adversaries
Tianpei Lu, Bingsheng Zhang, Lichun Li +1
With the increasing emphasis on privacy regulations, such as GDPR, protecting individual privacy and ensuring compliance have become critical concerns for both individuals and orga…