ljcc0930/awesome-machine-unlearning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

Hi there 👋

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!

My recent works about machine unlearning (MU)

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)