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Improving Adversarial Transferability via Neuron Attribution-Based
  Attacks

Improving Adversarial Transferability via Neuron Attribution-Based Attacks

31 March 2022
Jianping Zhang
Weibin Wu
Jen-tse Huang
Yizhan Huang
Wenxuan Wang
Yuxin Su
Michael R. Lyu
    AAML
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Papers citing "Improving Adversarial Transferability via Neuron Attribution-Based Attacks"

28 / 78 papers shown
Title
A Comprehensive Study on the Robustness of Image Classification and
  Object Detection in Remote Sensing: Surveying and Benchmarking
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
16
11
0
21 Jun 2023
Reliable Evaluation of Adversarial Transferability
Reliable Evaluation of Adversarial Transferability
Wenqian Yu
Jindong Gu
Zhijiang Li
Philip H. S. Torr
AAML
17
8
0
14 Jun 2023
On the Robustness of Latent Diffusion Models
On the Robustness of Latent Diffusion Models
Jianping Zhang
Zhuoer Xu
Shiwen Cui
Changhua Meng
Weibin Wu
Michael R. Lyu
AAML
19
20
0
14 Jun 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using
  Expected Perturbation Score
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
Shuhai Zhang
Feng Liu
Jiahao Yang
Yifan Yang
Changsheng Li
Bo Han
Mingkui Tan
DiffM
AAML
20
17
0
25 May 2023
Validating Multimedia Content Moderation Software via Semantic Fusion
Validating Multimedia Content Moderation Software via Semantic Fusion
Wenxuan Wang
Jingyuan Huang
Chang Chen
Jiazhen Gu
Jianping Zhang
Weibin Wu
Pinjia He
Michael Lyu
66
9
0
23 May 2023
BiasAsker: Measuring the Bias in Conversational AI System
BiasAsker: Measuring the Bias in Conversational AI System
Yuxuan Wan
Wenxuan Wang
Pinjia He
Jiazhen Gu
Haonan Bai
Michael Lyu
22
67
0
21 May 2023
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by
  Model Quantization
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
Yulong Yang
Chenhao Lin
Qian Li
Zhengyu Zhao
Haoran Fan
Dawei Zhou
Nannan Wang
Tongliang Liu
Chao Shen
AAML
MQ
32
12
0
10 May 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1
  Decomposed Feature
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature
Juanjuan Weng
Zhiming Luo
Dazhen Lin
Shaozi Li
Zhun Zhong
AAML
FedML
30
7
0
02 May 2023
Improving Adversarial Transferability via Intermediate-level
  Perturbation Decay
Improving Adversarial Transferability via Intermediate-level Perturbation Decay
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
14
18
0
26 Apr 2023
Diversifying the High-level Features for better Adversarial
  Transferability
Diversifying the High-level Features for better Adversarial Transferability
Zhiyuan Wang
Zeliang Zhang
Siyuan Liang
Xiaosen Wang
AAML
37
18
0
20 Apr 2023
How to choose your best allies for a transferable attack?
How to choose your best allies for a transferable attack?
Thibault Maho
Seyed-Mohsen Moosavi-Dezfooli
Teddy Furon
AAML
14
1
0
05 Apr 2023
Towards Reasonable Budget Allocation in Untargeted Graph Structure
  Attacks via Gradient Debias
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias
Zihan Liu
Yun Luo
Lirong Wu
Zicheng Liu
Stan Z. Li
AAML
16
25
0
29 Mar 2023
Transferable Adversarial Attacks on Vision Transformers with Token
  Gradient Regularization
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization
Jianping Zhang
Yizhan Huang
Weibin Wu
Michael R. Lyu
AAML
ViT
18
49
0
28 Mar 2023
Improving the Transferability of Adversarial Samples by Path-Augmented
  Method
Improving the Transferability of Adversarial Samples by Path-Augmented Method
Jianping Zhang
Jen-tse Huang
Wenxuan Wang
Yichen Li
Weibin Wu
Xiaosen Wang
Yuxin Su
Michael R. Lyu
AAML
43
50
0
28 Mar 2023
Improving the Transferability of Adversarial Examples via Direction
  Tuning
Improving the Transferability of Adversarial Examples via Direction Tuning
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
22
12
0
27 Mar 2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face
  Recognition
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
Zexin Li
Bangjie Yin
Taiping Yao
Junfeng Guo
Shouhong Ding
Simin Chen
Cong Liu
AAML
18
34
0
22 Mar 2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples
Fuzziness-tuned: Improving the Transferability of Adversarial Examples
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
22
0
0
17 Mar 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
Bag of Tricks for Effective Language Model Pretraining and Downstream
  Adaptation: A Case Study on GLUE
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE
Qihuang Zhong
Liang Ding
Keqin Peng
Juhua Liu
Bo Du
Li Shen
Yibing Zhan
Dacheng Tao
VLM
34
13
0
18 Feb 2023
MTTM: Metamorphic Testing for Textual Content Moderation Software
MTTM: Metamorphic Testing for Textual Content Moderation Software
Wenxuan Wang
Jen-tse Huang
Weibin Wu
Jianping Zhang
Yizhan Huang
Shuqing Li
Pinjia He
Michael Lyu
45
29
0
11 Feb 2023
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Zhengyu Zhao
Hanwei Zhang
Renjue Li
R. Sicre
Laurent Amsaleg
Michael Backes
AAML
14
20
0
17 Nov 2022
Improving the Transferability of Adversarial Attacks on Face Recognition
  with Beneficial Perturbation Feature Augmentation
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation
Fengfan Zhou
H. Ling
Yuxuan Shi
Jiazhong Chen
Zongyi Li
Ping Li
AAML
42
7
0
28 Oct 2022
Are Gradients on Graph Structure Reliable in Gray-box Attacks?
Are Gradients on Graph Structure Reliable in Gray-box Attacks?
Zihan Liu
Yun Luo
Lirong Wu
Siyuan Li
Zicheng Liu
Stan Z. Li
AAML
13
23
0
07 Aug 2022
Gradient Aligned Attacks via a Few Queries
Gradient Aligned Attacks via a Few Queries
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
30
0
0
19 May 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases
AEON: A Method for Automatic Evaluation of NLP Test Cases
Jen-tse Huang
Jianping Zhang
Wenxuan Wang
Pinjia He
Yuxin Su
Michael R. Lyu
30
23
0
13 May 2022
ComDefend: An Efficient Image Compression Model to Defend Adversarial
  Examples
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
50
264
0
30 Nov 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
254
5,833
0
08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
284
39,190
0
01 Sep 2014
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