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Probing Unlearned Diffusion Models: A Transferable Adversarial Attack
  Perspective

Probing Unlearned Diffusion Models: A Transferable Adversarial Attack Perspective

30 April 2024
Xiaoxuan Han
Songlin Yang
Wei Wang
Yang Li
Jing Dong
    DiffM
    AAML
ArXivPDFHTML

Papers citing "Probing Unlearned Diffusion Models: A Transferable Adversarial Attack Perspective"

7 / 7 papers shown
Title
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models
Hao Xuan
Xingyu Li
AAML
MU
43
0
0
21 Apr 2025
On the Vulnerability of Concept Erasure in Diffusion Models
On the Vulnerability of Concept Erasure in Diffusion Models
Lucas Beerens
Alex D. Richardson
K. Zhang
Dongdong Chen
DiffM
60
2
0
24 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
73
13
0
17 Jan 2025
Unlearning or Concealment? A Critical Analysis and Evaluation Metrics
  for Unlearning in Diffusion Models
Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models
Aakash Sen Sharma
Niladri Sarkar
Vikram S Chundawat
Ankur Mali
Murari Mandal
DiffM
MU
30
4
0
09 Sep 2024
Position: Towards Implicit Prompt For Text-To-Image Models
Position: Towards Implicit Prompt For Text-To-Image Models
Yue Yang
Yuqi Lin
Hong Liu
Wenqi Shao
Runjian Chen
Hailong Shang
Yu Wang
Yu Qiao
Kaipeng Zhang
Ping Luo
EGVM
VLM
33
2
0
04 Mar 2024
Red-Teaming the Stable Diffusion Safety Filter
Red-Teaming the Stable Diffusion Safety Filter
Javier Rando
Daniel Paleka
David Lindner
Lennard Heim
Florian Tramèr
DiffM
122
183
0
03 Oct 2022
A Survey of Machine Unlearning
A Survey of Machine Unlearning
Thanh Tam Nguyen
T. T. Huynh
Phi Le Nguyen
Alan Wee-Chung Liew
Hongzhi Yin
Quoc Viet Hung Nguyen
MU
77
219
0
06 Sep 2022
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