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Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned
  Concepts

Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

16 October 2024
Hongcheng Gao
Tianyu Pang
Chao Du
Taihang Hu
Zhijie Deng
Min Lin
    DiffM
ArXiv (abs)PDFHTMLGithub (27★)

Papers citing "Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts"

14 / 14 papers shown
Title
Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack
Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack
SeungBum Ha
Saerom Park
Sung Whan Yoon
MUCLL
83
0
1
02 Jun 2025
Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression
Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression
Yiwei Xie
Ping Liu
Zheng Zhang
146
0
0
26 May 2025
CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning
CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning
Biao Yi
Tiansheng Huang
Baolei Zhang
Tong Li
Lihai Nie
Zheli Liu
Li Shen
MUAAML
98
0
0
22 May 2025
Backdoor Defense in Diffusion Models via Spatial Attention Unlearning
Backdoor Defense in Diffusion Models via Spatial Attention Unlearning
Abha Jha
Ashwath Vaithinathan Aravindan
Matthew Salaway
Atharva Sandeep Bhide
Duygu Nur Yaldiz
AAML
139
0
0
21 Apr 2025
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Leyang Li
Shilin Lu
Yan Ren
A. Kong
DiffM
115
4
0
17 Apr 2025
Robust Concept Erasure Using Task Vectors
Robust Concept Erasure Using Task Vectors
Minh Pham
Kelly O. Marshall
Chinmay Hegde
Niv Cohen
190
20
0
21 Feb 2025
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
Yong-Hyun Park
Sangdoo Yun
Jin-Hwa Kim
Junho Kim
Geonhui Jang
Yonghyun Jeong
Junghyo Jo
Gayoung Lee
167
19
0
17 Jan 2025
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Pratiksha Thaker
Shengyuan Hu
Neil Kale
Yash Maurya
Zhiwei Steven Wu
Virginia Smith
MU
132
25
0
03 Oct 2024
An Adversarial Perspective on Machine Unlearning for AI Safety
An Adversarial Perspective on Machine Unlearning for AI Safety
Jakub Łucki
Boyi Wei
Yangsibo Huang
Peter Henderson
F. Tramèr
Javier Rando
MUAAML
206
53
0
26 Sep 2024
Tamper-Resistant Safeguards for Open-Weight LLMs
Tamper-Resistant Safeguards for Open-Weight LLMs
Rishub Tamirisa
Bhrugu Bharathi
Long Phan
Andy Zhou
Alice Gatti
...
Andy Zou
Dawn Song
Bo Li
Dan Hendrycks
Mantas Mazeika
AAMLMU
133
63
0
01 Aug 2024
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
Haoyu Tang
Ye Liu
Xukai Liu
Xukai Liu
Yanghai Zhang
Kai Zhang
Xiaofang Zhou
Enhong Chen
MU
160
3
0
25 Jul 2024
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
Yongliang Wu
Shiji Zhou
Mingzhuo Yang
Lianzhe Wang
Wenbo Zhu
Heng Chang
Xiao Zhou
Xu Yang
Xu Yang
146
21
0
24 May 2024
Offset Unlearning for Large Language Models
Offset Unlearning for Large Language Models
James Y. Huang
Wenxuan Zhou
Fei Wang
Fred Morstatter
Sheng Zhang
Hoifung Poon
Muhao Chen
MU
98
17
0
17 Apr 2024
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
Jiachen Ma
Anda Cao
Zhiqing Xiao
Jie Zhang
Chaonan Ye
Chao Ye
Junbo Zhao
137
33
0
02 Apr 2024
1