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Adversarial Defense by Restricting the Hidden Space of Deep Neural
  Networks
v1v2v3v4 (latest)

Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks

1 April 2019
Aamir Mustafa
Salman Khan
Munawar Hayat
Roland Göcke
Jianbing Shen
Ling Shao
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks"

50 / 80 papers shown
Title
Feature Statistics with Uncertainty Help Adversarial Robustness
Feature Statistics with Uncertainty Help Adversarial Robustness
Ran A. Wang
Xinlei Zhou
Meng Hu
Rihao Li
Wenhui Wu
Yuheng Jia
AAML
132
0
0
26 Mar 2025
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting
  for Smart and Connected Infrastructures
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures
Pooja Krishan
Rohan Mohapatra
Saptarshi Sengupta
AAML
79
1
0
27 Aug 2024
Novel Deep Neural Network Classifier Characterization Metrics with
  Applications to Dataless Evaluation
Novel Deep Neural Network Classifier Characterization Metrics with Applications to Dataless Evaluation
Nathaniel R. Dean
Dilip Sarkar
79
0
0
17 Jul 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
119
4
0
26 Jun 2024
Improving Adversarial Robustness via Feature Pattern Consistency
  Constraint
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
Jiacong Hu
Jingwen Ye
Zunlei Feng
Jiazhen Yang
Shunyu Liu
Xiaotian Yu
Lingxiang Jia
Mingli Song
AAML
92
2
0
13 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
133
14
0
08 Jun 2024
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial
  Robustness and Generalization Ability
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability
Fengji Ma
Li Liu
Hei Victor Cheng
VLM
89
0
0
27 May 2024
Inherent Diverse Redundant Safety Mechanisms for AI-based Software
  Elements in Automotive Applications
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications
Mandar Pitale
Alireza Abbaspour
Devesh Upadhyay
85
4
0
13 Feb 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
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng
Peng Li
AAML
152
3
0
20 Aug 2023
Improving Generalization of Adversarial Training via Robust Critical
  Fine-Tuning
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning
Kaijie Zhu
Jindong Wang
Xixu Hu
Xingxu Xie
G. Yang
AAML
76
25
0
01 Aug 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
60
7
0
18 Jul 2023
Fantastic DNN Classifiers and How to Identify them without Data
Fantastic DNN Classifiers and How to Identify them without Data
Nathaniel R. Dean
D. Sarkar
63
1
0
24 May 2023
Feature Separation and Recalibration for Adversarial Robustness
Feature Separation and Recalibration for Adversarial Robustness
Woo Jae Kim
Y. Cho
Junsik Jung
Sung-eui Yoon
AAML
117
22
0
24 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial
  Robustness
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILMAAML
102
11
0
17 Mar 2023
Less is More: Data Pruning for Faster Adversarial Training
Less is More: Data Pruning for Faster Adversarial Training
Yize Li
Pu Zhao
Xinyu Lin
B. Kailkhura
Ryan Goldh
AAML
117
11
0
23 Feb 2023
Stationary Point Losses for Robust Model
Stationary Point Losses for Robust Model
Weiwei Gao
Dazhi Zhang
Yao Li
Zhichang Guo
Ovanes Petrosian
OOD
107
0
0
19 Feb 2023
DISCO: Adversarial Defense with Local Implicit Functions
DISCO: Adversarial Defense with Local Implicit Functions
Chih-Hui Ho
Nuno Vasconcelos
AAML
130
39
0
11 Dec 2022
General Adversarial Defense Against Black-box Attacks via Pixel Level
  and Feature Level Distribution Alignments
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
Xiaogang Xu
Hengshuang Zhao
Philip Torr
Jiaya Jia
AAML
61
2
0
11 Dec 2022
Hijack Vertical Federated Learning Models As One Party
Hijack Vertical Federated Learning Models As One Party
Pengyu Qiu
Xuhong Zhang
Shouling Ji
Changjiang Li
Yuwen Pu
Xing Yang
Ting Wang
FedML
124
6
0
01 Dec 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust
  Neural Network
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network
Iordanis Fostiropoulos
Laurent Itti
88
1
0
26 Nov 2022
Towards Robust Dataset Learning
Towards Robust Dataset Learning
Yihan Wu
Xinda Li
Florian Kerschbaum
Heng Huang
Hongyang R. Zhang
DDOOD
90
10
0
19 Nov 2022
Saliency Guided Adversarial Training for Learning Generalizable Features
  with Applications to Medical Imaging Classification System
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
Xin Li
Yao Qiang
Chengyin Li
Sijia Liu
D. Zhu
OODMedIm
81
4
0
09 Sep 2022
A Perturbation Resistant Transformation and Classification System for
  Deep Neural Networks
A Perturbation Resistant Transformation and Classification System for Deep Neural Networks
Nathaniel R. Dean
D. Sarkar
AAML
24
0
0
25 Aug 2022
Object-ABN: Learning to Generate Sharp Attention Maps for Action
  Recognition
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition
Tomoya Nitta
Tsubasa Hirakawa
H. Fujiyoshi
Toru Tamaki
100
0
0
27 Jul 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
63
14
0
13 Jul 2022
Increasing Confidence in Adversarial Robustness Evaluations
Increasing Confidence in Adversarial Robustness Evaluations
Roland S. Zimmermann
Wieland Brendel
Florian Tramèr
Nicholas Carlini
AAML
72
16
0
28 Jun 2022
LADDER: Latent Boundary-guided Adversarial Training
LADDER: Latent Boundary-guided Adversarial Training
Xiaowei Zhou
Ivor W. Tsang
Jie Yin
AAML
62
7
0
08 Jun 2022
Gradient Concealment: Free Lunch for Defending Adversarial Attacks
Gradient Concealment: Free Lunch for Defending Adversarial Attacks
Sen Pei
Jiaxi Sun
Xiaopeng Zhang
Gaofeng Meng
AAML
70
0
0
21 May 2022
A Mask-Based Adversarial Defense Scheme
A Mask-Based Adversarial Defense Scheme
Weizhen Xu
Chenyi Zhang
Fangzhen Zhao
Liangda Fang
AAML
77
4
0
21 Apr 2022
Adaptive-Gravity: A Defense Against Adversarial Samples
Adaptive-Gravity: A Defense Against Adversarial Samples
Ali Mirzaeian
Zhi Tian
Sai Manoj P D
B. S. Latibari
I. Savidis
Houman Homayoun
Avesta Sasan
AAMLOOD
58
1
0
07 Apr 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability
  Analysis (LSA) framework
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework
Mohammad Khalooei
M. Homayounpour
M. Amirmazlaghani
AAML
73
3
0
05 Feb 2022
Memory Defense: More Robust Classification via a Memory-Masking
  Autoencoder
Memory Defense: More Robust Classification via a Memory-Masking Autoencoder
Eashan Adhikarla
Danni Luo
Brian D. Davison
AAML
41
2
0
05 Feb 2022
On the Real-World Adversarial Robustness of Real-Time Semantic
  Segmentation Models for Autonomous Driving
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving
Giulio Rossolini
F. Nesti
G. D’Amico
Saasha Nair
Alessandro Biondi
Giorgio Buttazzo
AAML
86
42
0
05 Jan 2022
Rethinking Feature Uncertainty in Stochastic Neural Networks for
  Adversarial Robustness
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness
Hao Yang
Min Wang
Zhengfei Yu
Yun Zhou
OODAAML
62
3
0
01 Jan 2022
Associative Adversarial Learning Based on Selective Attack
Associative Adversarial Learning Based on Selective Attack
Runqi Wang
Xiaoyue Duan
Baochang Zhang
Shenjun Xue
Wentao Zhu
David Doermann
G. Guo
AAML
83
0
0
28 Dec 2021
Imperceptible Transfer Attack and Defense on 3D Point Cloud
  Classification
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification
Daizong Liu
Wei Hu
3DPC
125
51
0
22 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification
  Architecture based on Recurrent Downsampled Attention
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention
S. Tan
Runpei Dong
Kaisheng Ma
81
2
0
03 Nov 2021
Defensive Tensorization
Defensive Tensorization
Adrian Bulat
Jean Kossaifi
S. Bhattacharya
Yannis Panagakis
Timothy M. Hospedales
Georgios Tzimiropoulos
Nicholas D. Lane
Maja Pantic
AAML
37
4
0
26 Oct 2021
Adversarial defenses via a mixture of generators
Adversarial defenses via a mixture of generators
Maciej Żelaszczyk
Jacek Mańdziuk
AAML
35
0
0
05 Oct 2021
Deep Repulsive Prototypes for Adversarial Robustness
Deep Repulsive Prototypes for Adversarial Robustness
A. Serban
E. Poll
Joost Visser
OOD
52
3
0
26 May 2021
Exploring Misclassifications of Robust Neural Networks to Enhance
  Adversarial Attacks
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
Leo Schwinn
René Raab
A. Nguyen
Dario Zanca
Bjoern M. Eskofier
AAML
90
61
0
21 May 2021
An Orthogonal Classifier for Improving the Adversarial Robustness of
  Neural Networks
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks
Cong Xu
Xiang Li
Min Yang
AAML
60
15
0
19 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI
  Safety
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
130
58
0
29 Apr 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features
LAFEAT: Piercing Through Adversarial Defenses with Latent Features
Yunrui Yu
Xitong Gao
Chengzhong Xu
AAMLFedML
91
46
0
19 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
107
39
0
05 Apr 2021
Unsupervised Robust Domain Adaptation without Source Data
Unsupervised Robust Domain Adaptation without Source Data
Peshal Agarwal
D. Paudel
Jan-Nico Zaech
Luc Van Gool
OODTTA
67
27
0
26 Mar 2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing
Improving Adversarial Robustness via Channel-wise Activation Suppressing
Yang Bai
Yuyuan Zeng
Yong Jiang
Shutao Xia
Xingjun Ma
Yisen Wang
AAML
102
131
0
11 Mar 2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise
  Importance-based Feature Selection
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
Hanshu Yan
Jingfeng Zhang
Gang Niu
Jiashi Feng
Vincent Y. F. Tan
Masashi Sugiyama
AAML
51
42
0
10 Feb 2021
Optimal Transport as a Defense Against Adversarial Attacks
Optimal Transport as a Defense Against Adversarial Attacks
Quentin Bouniot
Romaric Audigier
Angélique Loesch
AAMLOOD
32
9
0
05 Feb 2021
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