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Query-efficient Meta Attack to Deep Neural Networks

Query-efficient Meta Attack to Deep Neural Networks

6 June 2019
Jiawei Du
Hu Zhang
Qiufeng Wang
Yi Yang
Jiashi Feng
    AAML
ArXivPDFHTML

Papers citing "Query-efficient Meta Attack to Deep Neural Networks"

18 / 18 papers shown
Title
A Generative Approach to Surrogate-based Black-box Attacks
A Generative Approach to Surrogate-based Black-box Attacks
Raha Moraffah
Huan Liu
AAML
27
0
0
05 Feb 2024
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
30
11
0
21 Jun 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
49
21
0
19 Feb 2023
Generalizable Black-Box Adversarial Attack with Meta Learning
Generalizable Black-Box Adversarial Attack with Meta Learning
Fei Yin
Yong Zhang
Baoyuan Wu
Yan Feng
Jingyi Zhang
Yanbo Fan
Yujiu Yang
AAML
36
27
0
01 Jan 2023
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang
Zeliang Zhang
Kangheng Tong
Dihong Gong
Kun He
Zhifeng Li
Wei Liu
AAML
24
56
0
13 Dec 2021
Adaptive Image Transformations for Transfer-based Adversarial Attack
Adaptive Image Transformations for Transfer-based Adversarial Attack
Zheng Yuan
Jie Zhang
Shiguang Shan
OOD
24
25
0
27 Nov 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based
  Adversarial Attacks
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
Maksym Yatsura
J. H. Metzen
Matthias Hein
OOD
28
14
0
02 Nov 2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art
  Black-Box Attacks
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
Kaleel Mahmood
Rigel Mahmood
Ethan Rathbun
Marten van Dijk
AAML
19
22
0
29 Sep 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack
Training Meta-Surrogate Model for Transferable Adversarial Attack
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Cho-Jui Hsieh
AAML
22
18
0
05 Sep 2021
Meta Gradient Adversarial Attack
Meta Gradient Adversarial Attack
Zheng Yuan
Jie Zhang
Yunpei Jia
Chuanqi Tan
Tao Xue
Shiguang Shan
AAML
54
78
0
09 Aug 2021
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 Mian
Navid Kardan
M. Shah
AAML
41
236
0
01 Aug 2021
Adv-Makeup: A New Imperceptible and Transferable Attack on Face
  Recognition
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
Bangjie Yin
Wenxuan Wang
Taiping Yao
Junfeng Guo
Zelun Kong
Shouhong Ding
Jilin Li
Cong Liu
AAML
39
129
0
07 May 2021
Improving Query Efficiency of Black-box Adversarial Attack
Improving Query Efficiency of Black-box Adversarial Attack
Yang Bai
Yuyuan Zeng
Yong Jiang
Yisen Wang
Shutao Xia
Weiwei Guo
AAML
MLAU
45
52
0
24 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Chen Ma
L. Chen
Junhai Yong
MLAU
OOD
41
17
0
02 Sep 2020
Adversarial Example Games
Adversarial Example Games
A. Bose
Gauthier Gidel
Hugo Berrard
Andre Cianflone
Pascal Vincent
Simon Lacoste-Julien
William L. Hamilton
AAML
GAN
38
51
0
01 Jul 2020
Boosting Black-Box Attack with Partially Transferred Conditional
  Adversarial Distribution
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution
Yan Feng
Baoyuan Wu
Yanbo Fan
Li Liu
Zhifeng Li
Shutao Xia
AAML
32
6
0
15 Jun 2020
Universal Adversarial Attack on Attention and the Resulting Dataset
  DAmageNet
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Sizhe Chen
Zhengbao He
Chengjin Sun
Jie Yang
Xiaolin Huang
AAML
31
104
0
16 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
505
11,727
0
09 Mar 2017
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