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Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation

Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation

9 March 2022
Qilong Zhang
Chaoning Zhang
Chaoning Zhang
Chaoqun Li
Xuanhan Wang
Jingkuan Song
Lianli Gao
    AAML
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Papers citing "Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation"

14 / 14 papers shown
Title
On Synthetic Texture Datasets: Challenges, Creation, and Curation
On Synthetic Texture Datasets: Challenges, Creation, and Curation
Blaine Hoak
Patrick D. McDaniel
EGVM
58
0
0
16 Sep 2024
Adversarial Attacks on Hidden Tasks in Multi-Task Learning
Adversarial Attacks on Hidden Tasks in Multi-Task Learning
Yu Zhe
Rei Nagaike
Daiki Nishiyama
Kazuto Fukuchi
Jun Sakuma
AAML
19
0
0
24 May 2024
LFAA: Crafting Transferable Targeted Adversarial Examples with
  Low-Frequency Perturbations
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations
Kunyu Wang
Juluan Shi
Wenxuan Wang
AAML
8
6
0
31 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya
Anshuman Suri
Tingwei Zhang
Jingtao Hong
Yuan Tian
David E. Evans
AAML
18
6
0
26 Oct 2023
Practical Deep Dispersed Watermarking with Synchronization and Fusion
Practical Deep Dispersed Watermarking with Synchronization and Fusion
Hengchang Guo
Qilong Zhang
Junwei Luo
Feng Guo
Wenbin Zhang
Xiaodong Su
Minglei Li
WIGM
14
10
0
23 Oct 2023
Improving the Transferability of Adversarial Examples with Arbitrary
  Style Transfer
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
Zhijin Ge
Fanhua Shang
Hongying Liu
Yuanyuan Liu
Liang Wan
Wei Feng
Xiaosen Wang
AAML
14
19
0
21 Aug 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
33
50
0
28 Mar 2023
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Shengming Yuan
Qilong Zhang
Lianli Gao
Yaya Cheng
Jingkuan Song
AAML
20
42
0
05 Oct 2022
Frequency Domain Model Augmentation for Adversarial Attack
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
6
153
0
12 Jul 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Ye Liu
Yaya Cheng
Lianli Gao
Xianglong Liu
Qilong Zhang
Jingkuan Song
AAML
24
56
0
10 Mar 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
64
0
27 Jan 2022
Staircase Sign Method for Boosting Adversarial Attacks
Staircase Sign Method for Boosting Adversarial Attacks
Qilong Zhang
Xiaosu Zhu
Jingkuan Song
Lianli Gao
Heng Tao Shen
AAML
20
13
0
20 Apr 2021
Shield: Fast, Practical Defense and Vaccination for Deep Learning using
  JPEG Compression
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Siwei Li
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
FedML
AAML
38
223
0
19 Feb 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
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