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Adversarial Defense by Restricting the Hidden Space of Deep Neural
  Networks

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
ArXivPDFHTML

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

29 / 29 papers shown
Title
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
35
0
0
17 Jul 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
AAML
VLM
40
13
0
08 Jun 2024
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
34
3
0
20 Aug 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
21
1
0
24 May 2023
Less is More: Data Pruning for Faster Adversarial Training
Less is More: Data Pruning for Faster Adversarial Training
Yize Li
Pu Zhao
X. Lin
B. Kailkhura
Ryan Goldh
AAML
15
9
0
23 Feb 2023
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 H. S. Torr
Jiaya Jia
AAML
26
2
0
11 Dec 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust
  Neural Network
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network
Iordanis Fostiropoulos
Laurent Itti
28
1
0
26 Nov 2022
Towards Robust Dataset Learning
Towards Robust Dataset Learning
Yihan Wu
Xinda Li
Florian Kerschbaum
Heng Huang
Hongyang R. Zhang
DD
OOD
41
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
OOD
MedIm
29
4
0
09 Sep 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
58
0
0
27 Jul 2022
Increasing Confidence in Adversarial Robustness Evaluations
Increasing Confidence in Adversarial Robustness Evaluations
Roland S. Zimmermann
Wieland Brendel
Florian Tramèr
Nicholas Carlini
AAML
36
16
0
28 Jun 2022
A Mask-Based Adversarial Defense Scheme
A Mask-Based Adversarial Defense Scheme
Weizhen Xu
Chenyi Zhang
Fangzhen Zhao
Liangda Fang
AAML
24
3
0
21 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
17
3
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
30
37
0
05 Jan 2022
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
22
2
0
03 Nov 2021
Adversarial defenses via a mixture of generators
Adversarial defenses via a mixture of generators
Maciej Żelaszczyk
Jacek Mañdziuk
AAML
13
0
0
05 Oct 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
14
58
0
21 May 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features
LAFEAT: Piercing Through Adversarial Defenses with Latent Features
Yunrui Yu
Xitong Gao
Chengzhong Xu
AAML
FedML
25
44
0
19 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
OOD
TTA
23
27
0
26 Mar 2021
Increasing the Confidence of Deep Neural Networks by Coverage Analysis
Increasing the Confidence of Deep Neural Networks by Coverage Analysis
Giulio Rossolini
Alessandro Biondi
Giorgio Buttazzo
AAML
26
13
0
28 Jan 2021
Composite Adversarial Attacks
Composite Adversarial Attacks
Xiaofeng Mao
YueFeng Chen
Shuhui Wang
Hang Su
Yuan He
Hui Xue
AAML
30
47
0
10 Dec 2020
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D
  Models
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
Mohammed Hassanin
Nour Moustafa
M. Tahtali
AAML
22
2
0
08 Dec 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
Stylized Adversarial Defense
Stylized Adversarial Defense
Muzammal Naseer
Salman Khan
Munawar Hayat
F. Khan
Fatih Porikli
GAN
AAML
20
16
0
29 Jul 2020
Defending Adversarial Attacks via Semantic Feature Manipulation
Defending Adversarial Attacks via Semantic Feature Manipulation
Shuo Wang
Tianle Chen
Surya Nepal
Carsten Rudolph
M. Grobler
Shangyu Chen
AAML
16
5
0
03 Feb 2020
One Man's Trash is Another Man's Treasure: Resisting Adversarial
  Examples by Adversarial Examples
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples
Chang Xiao
Changxi Zheng
AAML
25
19
0
25 Nov 2019
Image Super-Resolution as a Defense Against Adversarial Attacks
Image Super-Resolution as a Defense Against Adversarial Attacks
Aamir Mustafa
Salman H. Khan
Munawar Hayat
Jianbing Shen
Ling Shao
AAML
SupR
19
167
0
07 Jan 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
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
5,837
0
08 Jul 2016
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