Jiancheng Liu
- Papers
- 13
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Authored papers
13UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
arXiv 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
arXiv 2024
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
arXiv 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
arXiv 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
arXiv 2024
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
arXiv 2024
Towards Universal Mesh Movement Networks
arXiv 2024
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
arXiv 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
arXiv 2023
Model Sparsity Can Simplify Machine Unlearning
model-sparsity-can-simplify-machine
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
arXiv 2023
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
arXiv 2023
Complex Locomotion Skill Learning via Differentiable Physics
complex-locomotion-skill-learning-via
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