Wenjie Lu

More Practical Privacy-Preserving Machine Learning as A Service via Efficient Secure Matrix Multiplication

2018

An efficient secure two-party computation protocol of matrix multiplication allows privacy-preserving cloud-aid machine learning services such as face recognition and traffic-aware navigation. We use homomorphic encryption to construct a secure matrix multiplication protocol with a …

A recommendation algorithm based on fullink consistency optimization

2023 · Research Square

Abstract Recommendation systems have evolved into multi-purpose and modular developments. Due to the complexity of the recommendation pipeline, this inevitably leads to inconsistent goals among the modules and the overall pipeline. To improve the consistency …

RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning

2024 · arXiv (Cornell University)

Reinforcement Learning from Human Feedback (RLHF) has recently surged in popularity, particularly for aligning large language models and other AI systems with human intentions. At its core, RLHF can be viewed as a specialized instance …