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SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

29 January 2025
Bartosz Cywiñski
Kamil Deja
    DiffM
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Papers citing "SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders"

5 / 5 papers shown
Title
Emergence and Evolution of Interpretable Concepts in Diffusion Models
Emergence and Evolution of Interpretable Concepts in Diffusion Models
Berk Tinaz
Zalan Fabian
Mahdi Soltanolkotabi
DiffM
14
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
40
0
0
17 Apr 2025
ACE: Attentional Concept Erasure in Diffusion Models
ACE: Attentional Concept Erasure in Diffusion Models
Finn Carter
DiffM
49
0
0
16 Apr 2025
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Mateusz Pach
Shyamgopal Karthik
Quentin Bouniot
Serge Belongie
Zeynep Akata
VLM
54
0
0
03 Apr 2025
SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders
SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders
Qing Li
Jiahui Geng
Derui Zhu
Fengyu Cai
Chenyang Lyu
Fakhri Karray
MU
41
0
0
16 Mar 2025
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