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
Towards Universal Mesh Movement Networks
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
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
arXiv 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
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
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
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
Complex Locomotion Skill Learning via Differentiable Physics
complex-locomotion-skill-learning-via
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