Publications

2024

• Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
  • Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu
  • [Paper], [Code]
• UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models
  • Yihua Zhang, Chongyu Fan, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Gaoyuan Zhang, Gaowen Liu, Ramana Rao Kompella, Xiaoming Liu, Sijia Liu
  • Neurips 2024
  • [Paper], [Code], [Website]
• Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
  • Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
  • Neurips 2024
  • [Paper], [Code]
• Challenging forgets: Unveiling the worst-case forget sets in machine unlearning
  • Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu
  • ECCV 2024
  • [Paper], [Code]
• Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation
  • Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu
  • ICLR 2024 Spotlight
  • [Paper], [Code], [Website]