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Adversarial Defense by Stratified Convolutional Sparse Coding

Adversarial Defense by Stratified Convolutional Sparse Coding

30 November 2018
Bo Sun
Nian-hsuan Tsai
Fangchen Liu
Ronald Yu
Hao Su
    AAML
ArXivPDFHTML

Papers citing "Adversarial Defense by Stratified Convolutional Sparse Coding"

16 / 16 papers shown
Title
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
Hao Fang
Jiawei Kong
Wenbo Yu
Bin Chen
Jiawei Li
Hao Wu
Ke Xu
Ke Xu
AAML
VLM
40
13
0
08 Jun 2024
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
52
50
0
18 May 2023
Data-free Defense of Black Box Models Against Adversarial Attacks
Data-free Defense of Black Box Models Against Adversarial Attacks
Gaurav Kumar Nayak
Inder Khatri
Ruchit Rawal
Anirban Chakraborty
AAML
33
1
0
03 Nov 2022
AGKD-BML: Defense Against Adversarial Attack by Attention Guided
  Knowledge Distillation and Bi-directional Metric Learning
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning
Hong Wang
Yuefan Deng
Shinjae Yoo
Haibin Ling
Yuewei Lin
AAML
27
15
0
13 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
26
235
0
01 Aug 2021
Attack to Fool and Explain Deep Networks
Attack to Fool and Explain Deep Networks
Naveed Akhtar
M. Jalwana
Bennamoun
Ajmal Mian
AAML
27
33
0
20 Jun 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial
  Image Purification
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification
S. Silva
Arun Das
I. Scarff
Peyman Najafirad
AAML
20
1
0
05 Apr 2021
Can audio-visual integration strengthen robustness under multimodal
  attacks?
Can audio-visual integration strengthen robustness under multimodal attacks?
Yapeng Tian
Chenliang Xu
AAML
36
37
0
05 Apr 2021
Brain Image Synthesis with Unsupervised Multivariate Canonical
  CSC$\ell_4$Net
Brain Image Synthesis with Unsupervised Multivariate Canonical CSCℓ4\ell_4ℓ4​Net
Yawen Huang
Feng Zheng
Danyang Wang
Weilin Huang
Matthew R. Scott
Ling Shao
30
8
0
22 Mar 2021
ROBY: Evaluating the Robustness of a Deep Model by its Decision
  Boundaries
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries
Jinyin Chen
Zhen Wang
Haibin Zheng
Jun Xiao
Zhaoyan Ming
AAML
19
5
0
18 Dec 2020
Semantically Robust Unpaired Image Translation for Data with Unmatched
  Semantics Statistics
Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics
Zhiwei Jia
Bodi Yuan
Kangkang Wang
Hong Wu
David Clifford
Zhiqiang Yuan
Hao Su
VLM
44
21
0
09 Dec 2020
Class-Aware Domain Adaptation for Improving Adversarial Robustness
Class-Aware Domain Adaptation for Improving Adversarial Robustness
Xianxu Hou
Jingxin Liu
Bolei Xu
Xiaolong Wang
Bozhi Liu
Guoping Qiu
OOD
AAML
43
8
0
10 May 2020
Ensemble Generative Cleaning with Feedback Loops for Defending
  Adversarial Attacks
Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks
Jianhe Yuan
Zhihai He
AAML
21
22
0
23 Apr 2020
Defective Convolutional Networks
Defective Convolutional Networks
Tiange Luo
Tianle Cai
Mengxiao Zhang
Siyu Chen
Di He
Liwei Wang
AAML
30
3
0
19 Nov 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,842
0
08 Jul 2016
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