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Diffusion Models for Imperceptible and Transferable Adversarial Attack

Diffusion Models for Imperceptible and Transferable Adversarial Attack

14 May 2023
Jianqi Chen
H. Chen
Keyan Chen
Yilan Zhang
Zhengxia Zou
Z. Shi
    DiffM
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Papers citing "Diffusion Models for Imperceptible and Transferable Adversarial Attack"

16 / 16 papers shown
Title
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
Jin Li
Ziqiang He
Anwei Luo
Jian-Fang Hu
Zhong Wang
Xiangui Kang
DiffM
59
0
0
12 Mar 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Yixiao Chen
Shikun Sun
Jianshu Li
Ruoyu Li
Zhe Li
Junliang Xing
AAML
93
0
0
04 Feb 2025
UV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping
UV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping
Yanjie Li
Wenxuan Zhang
K. Liang
Bin Xiao
AAML
56
1
0
10 Jan 2025
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack
Zihao Pan
Weibin Wu
Yuhang Cao
Zibin Zheng
DiffM
AAML
52
1
0
03 Oct 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification
Learning to Learn Transferable Generative Attack for Person Re-Identification
Yuan Bian
Min Liu
Xueping Wang
Yunfeng Ma
Yaonan Wang
AAML
OOD
50
1
0
06 Sep 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
Xiao-Li Li
Wenxuan Sun
Huanran Chen
Qiongxiu Li
Yining Liu
Yingzhe He
Jie Shi
Xiaolin Hu
AAML
46
7
0
01 Aug 2024
Assessing Robustness via Score-Based Adversarial Image Generation
Assessing Robustness via Score-Based Adversarial Image Generation
Marcel Kollovieh
Lukas Gosch
Yan Scholten
Marten Lienen
Leo Schwinn
Stephan Günnemann
DiffM
32
4
0
06 Oct 2023
Toward effective protection against diffusion based mimicry through
  score distillation
Toward effective protection against diffusion based mimicry through score distillation
Haotian Xue
Chumeng Liang
Xiaoyu Wu
Yongxin Chen
DiffM
AAML
32
31
0
02 Oct 2023
Zero-Shot Image Harmonization with Generative Model Prior
Zero-Shot Image Harmonization with Generative Model Prior
Jianqi Chen
Yilan Zhang
Zhengxia Zou
Keyan Chen
Z. Shi
DiffM
24
5
0
17 Jul 2023
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion
  Models
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
Jiarui Xu
Sifei Liu
Arash Vahdat
Wonmin Byeon
Xiaolong Wang
Shalini De Mello
VLM
201
318
0
08 Mar 2023
Diffusion-based Image Translation using Disentangled Style and Content
  Representation
Diffusion-based Image Translation using Disentangled Style and Content Representation
Gihyun Kwon
Jong Chul Ye
DiffM
147
149
0
30 Sep 2022
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
187
410
0
16 May 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for
  Black-box Domains
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
Qilong Zhang
Xiaodan Li
YueFeng Chen
Jingkuan Song
Lianli Gao
Yuan He
Hui Xue
AAML
62
62
0
27 Jan 2022
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,554
0
04 May 2021
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
174
300
0
21 May 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,102
0
04 Nov 2016
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