My name is Jiancheng (JC) Liu. I am a graduate student at Michigan State University, currently work at OPTML Group. My recent research focuses on scalable and trustworthy AI.
- We are going to hold a tutorial about machine unlearning at CVPR 2024! Stay tuned!
- I am planning to enroll as a doctoral student in 2025. Should you have any promising opportunities, please feel free to contact me!
Paper Title | Venue | Repository |
---|---|---|
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning | In Submission | |
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning | In Submission | |
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models | In Submission | |
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images... For Now | In Submission | |
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation | ICLR'24 (Spotlight) | |
Model Sparsity Can Simplify Machine Unlearning | NeurIPS'23 (Spotlight) |