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Universal Perturbation Attack Against Image Retrieval

Universal Perturbation Attack Against Image Retrieval

3 December 2018
Jie Li
R. Ji
Hong Liu
Xiaopeng Hong
Yue Gao
Q. Tian
    AAML
ArXivPDFHTML

Papers citing "Universal Perturbation Attack Against Image Retrieval"

15 / 15 papers shown
Title
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
58
1
0
06 Sep 2024
Collapse-Aware Triplet Decoupling for Adversarially Robust Image
  Retrieval
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
Qiwei Tian
Chenhao Lin
Zhengyu Zhao
Qian Li
Chao Shen
21
2
0
12 Dec 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
Meta Generative Attack on Person Reidentification
Meta Generative Attack on Person Reidentification
M. I. A V Subramanyam
AAML
14
8
0
16 Jan 2023
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Cheng Luo
Qinliang Lin
Weicheng Xie
Bizhu Wu
Jinheng Xie
Linlin Shen
AAML
28
100
0
10 Mar 2022
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Discriminator-Free Generative Adversarial Attack
Discriminator-Free Generative Adversarial Attack
Shaohao Lu
Yuqiao Xian
Ke Yan
Yi Hu
Xing Sun
Xiaowei Guo
Feiyue Huang
Weishi Zheng
AAML
GAN
33
20
0
20 Jul 2021
Attack to Fool and Explain Deep Networks
Attack to Fool and Explain Deep Networks
Naveed Akhtar
M. Jalwana
Bennamoun
Ajmal Saeed Mian
AAML
19
33
0
20 Jun 2021
Quantitative robustness of instance ranking problems
Quantitative robustness of instance ranking problems
Tino Werner
11
2
0
12 Mar 2021
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
Xiaodan Li
Jinfeng Li
YueFeng Chen
Shaokai Ye
Yuan He
Shuhui Wang
Hang Su
Hui Xue
6
44
0
04 Mar 2021
A Survey On Universal Adversarial Attack
A Survey On Universal Adversarial Attack
Chaoning Zhang
Philipp Benz
Chenguo Lin
Adil Karjauv
Jing Wu
In So Kweon
AAML
21
90
0
02 Mar 2021
Deep Learning for Instance Retrieval: A Survey
Deep Learning for Instance Retrieval: A Survey
Wei-Neng Chen
Yu Liu
Weiping Wang
E. Bakker
Theodoros Georgiou
Paul Fieguth
Li Liu
M. Lew
VLM
11
144
0
27 Jan 2021
Adversarial Ranking Attack and Defense
Adversarial Ranking Attack and Defense
Mo Zhou
Zhenxing Niu
Le Wang
Qilin Zhang
G. Hua
28
38
0
26 Feb 2020
Kornia: an Open Source Differentiable Computer Vision Library for
  PyTorch
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
F. Mokhayeri
Dmytro Mishkin
Daniel Ponsa
Ethan Rublee
Gary R. Bradski
VLM
AI4TS
12
345
0
05 Oct 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,833
0
08 Jul 2016
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