Louise Xu

Trustworthy Machine Learning

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I am a Ph.D. student in the School of Computing at the National University of Singapore (NUS). I’m working with Prateek Saxena as my advisor in the KISP Lab. I’m working on the Machine Learning and Algorithms for Practical Security (MAPS) project.

Previously, I earned my bachelor’s degree as a Computer Science and Math major from Reed College, USA. My thesis was on Differential Privacy and Neural Networks.

Research Interests

  • Robustness of ML models
  • Provable security
  • LLM Reasoning

Teaching

Past modules I have TAed:

  • Trustworthy Machine Learning (CS5562, Fall 2024)
  • Trustworthy Machine Learning (CS5562, Fall 2025)

News

Oct 29, 2025 Our paper on defending model inversion attacks with fuzzy extractors is now live on arxiv!

Selected publications

  1. arXiv
    Model Inversion Attacks Meet Cryptographic Fuzzy Extractors
    Arxiv, 2025