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Adversarial Defense by Stratified Convolutional Sparse Coding
v1v2 (latest)

Adversarial Defense by Stratified Convolutional Sparse Coding

30 November 2018
Bo Sun
Nian-hsuan Tsai
Fangchen Liu
Ronald Yu
Hao Su
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Defense by Stratified Convolutional Sparse Coding"

34 / 34 papers shown
Title
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
Cheng Chen
Yuhong Wang
Nafis S Munir
Xiangwei Zhou
Xugui Zhou
AAML
61
0
0
14 May 2025
On Transfer-based Universal Attacks in Pure Black-box Setting
On Transfer-based Universal Attacks in Pure Black-box Setting
M. Jalwana
Naveed Akhtar
Ajmal Mian
Nazanin Rahnavard
Mubarak Shah
AAML
73
0
0
11 Apr 2025
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial
  Attack
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack
Kuo Gai
Sicong Wang
Shihua Zhang
AAML
83
0
0
01 Aug 2024
Artificial Immune System of Secure Face Recognition Against Adversarial
  Attacks
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Min Ren
Yunlong Wang
Yuhao Zhu
Yongzhen Huang
Zhenan Sun
Qi Li
Tieniu Tan
112
4
0
26 Jun 2024
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
AAMLVLM
131
13
0
08 Jun 2024
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by
  Regularizing Unwanted Noise
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise
Zhixun He
Mukesh Singhal
79
1
0
05 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification
ZeroPur: Succinct Training-Free Adversarial Purification
Xiuli Bi
Zonglin Yang
Bo Liu
Xiaodong Cun
Chi-Man Pun
114
0
0
05 Jun 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding
  Architectures
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
S. V. Dibbo
Adam Breuer
Juston S. Moore
Michael Teti
AAML
85
5
0
21 Mar 2024
IRAD: Implicit Representation-driven Image Resampling against
  Adversarial Attacks
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
Yue Cao
Tianlin Li
Xiaofeng Cao
Ivor Tsang
Yang Liu
Qing Guo
AAML
66
2
0
18 Oct 2023
CertPri: Certifiable Prioritization for Deep Neural Networks via
  Movement Cost in Feature Space
CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space
Haibin Zheng
Jinyin Chen
Haibo Jin
AAML
48
7
0
18 Jul 2023
Defense against Adversarial Cloud Attack on Remote Sensing Salient
  Object Detection
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection
Huiming Sun
Lan Fu
Jinlong Li
Qing Guo
Zibo Meng
Tianyun Zhang
Yuewei Lin
Hongkai Yu
AAML
68
10
0
30 Jun 2023
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
120
62
0
18 May 2023
A Random-patch based Defense Strategy Against Physical Attacks for Face
  Recognition Systems
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems
Jiahao Xie
Ye Luo
Jianwei Lu
AAMLCVBM
33
3
0
16 Apr 2023
DISCO: Adversarial Defense with Local Implicit Functions
DISCO: Adversarial Defense with Local Implicit Functions
Chih-Hui Ho
Nuno Vasconcelos
AAML
128
39
0
11 Dec 2022
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
69
1
0
03 Nov 2022
Perturbation Inactivation Based Adversarial Defense for Face Recognition
Perturbation Inactivation Based Adversarial Defense for Face Recognition
Min Ren
Yuhao Zhu
Yunlong Wang
Zhenan Sun
AAML
54
14
0
13 Jul 2022
InfoAT: Improving Adversarial Training Using the Information Bottleneck
  Principle
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle
Mengting Xu
Tao Zhang
Zhongnian Li
Daoqiang Zhang
AAML
73
17
0
23 Jun 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
58
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
157
241
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
100
33
0
20 Jun 2021
The Dimpled Manifold Model of Adversarial Examples in Machine Learning
The Dimpled Manifold Model of Adversarial Examples in Machine Learning
A. Shamir
Odelia Melamed
Oriel BenShmuel
AAML
88
50
0
18 Jun 2021
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong
  Robustness
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness
Renjue Li
Hanwei Zhang
Pengfei Yang
Cheng-Chao Huang
Aimin Zhou
Bai Xue
Lijun Zhang
FedMLAAML
38
4
0
05 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
52
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
102
39
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
59
8
0
22 Mar 2021
Structure-Preserving Progressive Low-rank Image Completion for Defending
  Adversarial Attacks
Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks
Zhiqun Zhao
Hengyou Wang
Hao Sun
Zhihai He
AAML
21
0
0
04 Mar 2021
RAILS: A Robust Adversarial Immune-inspired Learning System
RAILS: A Robust Adversarial Immune-inspired Learning System
Ren Wang
Tianqi Chen
Stephen Lindsly
A. Rehemtulla
Alfred Hero
I. Rajapakse
AAML
38
7
0
18 Dec 2020
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
79
5
0
18 Dec 2020
On the Limitations of Denoising Strategies as Adversarial Defenses
On the Limitations of Denoising Strategies as Adversarial Defenses
Zhonghan Niu
Zhaoxi Chen
Linyi Li
Yubin Yang
Yue Liu
Jinfeng Yi
AAML
74
14
0
17 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
101
23
0
09 Dec 2020
Robust Tracking against Adversarial Attacks
Robust Tracking against Adversarial Attacks
Shuai Jia
Chao Ma
Yibing Song
Xiaokang Yang
AAML
75
51
0
20 Jul 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
OODAAML
125
9
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
64
22
0
23 Apr 2020
Defective Convolutional Networks
Defective Convolutional Networks
Tiange Luo
Tianle Cai
Mengxiao Zhang
Siyu Chen
Di He
Liwei Wang
AAML
39
3
0
19 Nov 2019
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