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Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach

Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach

19 April 2025
Hangyu Liu
Bo Peng
Pengxiang Ding
Donglin Wang
    AAML
ArXivPDFHTML

Papers citing "Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach"

32 / 32 papers shown
Title
Learning to Transform Dynamically for Better Adversarial Transferability
Learning to Transform Dynamically for Better Adversarial Transferability
Rongyi Zhu
Zeliang Zhang
Susan Liang
Zhuo Liu
Chenliang Xu
AAML
83
17
0
23 May 2024
Enhancing targeted transferability via feature space fine-tuning
Enhancing targeted transferability via feature space fine-tuning
Hui Zeng
Biwei Chen
Anjie Peng
AAML
74
5
0
05 Jan 2024
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion
  Models
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
Xuelong Dai
Kaisheng Liang
Bin Xiao
DiffM
47
29
0
24 Jul 2023
Introducing Competition to Boost the Transferability of Targeted
  Adversarial Examples through Clean Feature Mixup
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup
Junyoung Byun
Myung-Joon Kwon
Seungju Cho
Yoonji Kim
Changick Kim
AAML
65
18
0
24 May 2023
Enhancing the Self-Universality for Transferable Targeted Attacks
Enhancing the Self-Universality for Transferable Targeted Attacks
Zhipeng Wei
Jingjing Chen
Zuxuan Wu
Yueping Jiang
AAML
54
34
0
08 Sep 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
425
15,515
0
20 Dec 2021
Boosting Transferability of Targeted Adversarial Examples via
  Hierarchical Generative Networks
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks
Xiao Yang
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
AAML
58
39
0
05 Jul 2021
Enhancing the Transferability of Adversarial Attacks through Variance
  Tuning
Enhancing the Transferability of Adversarial Attacks through Variance Tuning
Xiaosen Wang
Kun He
AAML
98
393
0
29 Mar 2021
On Generating Transferable Targeted Perturbations
On Generating Transferable Targeted Perturbations
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
AAML
79
74
0
26 Mar 2021
On Success and Simplicity: A Second Look at Transferable Targeted
  Attacks
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
100
125
0
21 Dec 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
283
7,384
0
06 Oct 2020
Yet Another Intermediate-Level Attack
Yet Another Intermediate-Level Attack
Qizhang Li
Yiwen Guo
Hao Chen
AAML
51
52
0
20 Aug 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
637
18,096
0
19 Jun 2020
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for
  Autonomous Driving
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
Zelun Kong
Junfeng Guo
Ang Li
Cong Liu
AAML
79
128
0
09 Jul 2019
Cross-Domain Transferability of Adversarial Perturbations
Cross-Domain Transferability of Adversarial Perturbations
Muzammal Naseer
Salman H. Khan
M. H. Khan
Fahad Shahbaz Khan
Fatih Porikli
AAML
91
145
0
28 May 2019
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
G. Ding
Luyu Wang
Xiaomeng Jin
65
183
0
20 Feb 2019
Improving Transferability of Adversarial Examples with Input Diversity
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
AAML
106
1,123
0
19 Mar 2018
Defense against Adversarial Attacks Using High-Level Representation
  Guided Denoiser
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
Fangzhou Liao
Ming Liang
Yinpeng Dong
Tianyu Pang
Xiaolin Hu
Jun Zhu
83
886
0
08 Dec 2017
Generative Adversarial Perturbations
Generative Adversarial Perturbations
Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge J. Belongie
AAML
GAN
WIGM
72
355
0
06 Dec 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,500
0
05 Sep 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
307
12,069
0
19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
177
2,725
0
19 May 2017
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
139
2,527
0
26 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
772
36,813
0
25 Aug 2016
A study of the effect of JPG compression on adversarial images
A study of the effect of JPG compression on adversarial images
Gintare Karolina Dziugaite
Zoubin Ghahramani
Daniel M. Roy
AAML
86
533
0
02 Aug 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,184
0
16 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
377
14,253
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
883
27,373
0
02 Dec 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,066
0
20 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
465
43,658
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
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