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1703.09202
Cited By
Biologically inspired protection of deep networks from adversarial attacks
27 March 2017
Aran Nayebi
Surya Ganguli
AAML
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Papers citing
"Biologically inspired protection of deep networks from adversarial attacks"
50 / 62 papers shown
Computing a human-like reaction time metric from stable recurrent vision models
Neural Information Processing Systems (NeurIPS), 2023
L. Goetschalckx
L. Govindarajan
A. Ashok
A. Ahuja
David L. Sheinberg
Thomas Serre
229
13
0
20 Jun 2023
How does training shape the Riemannian geometry of neural network representations?
Jacob A. Zavatone-Veth
Sheng Yang
Julian Rubinfien
Cengiz Pehlevan
MLT
AI4CE
434
6
0
26 Jan 2023
Understanding Robust Learning through the Lens of Representation Similarities
Neural Information Processing Systems (NeurIPS), 2022
Christian Cianfarani
A. Bhagoji
Vikash Sehwag
Ben Y. Zhao
Prateek Mittal
Haitao Zheng
OOD
329
18
0
20 Jun 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
IEEE VLSI Test Symposium (VTS), 2022
Shail Dave
Alberto Marchisio
Muhammad Abdullah Hanif
Amira Guesmi
Aviral Shrivastava
Ihsen Alouani
Mohamed Bennai
238
14
0
18 Apr 2022
Enhancing Classifier Conservativeness and Robustness by Polynomiality
Computer Vision and Pattern Recognition (CVPR), 2022
Ziqi Wang
Marco Loog
AAML
152
3
0
23 Mar 2022
Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackers
Delv Lin
Qi Chen
Chengyu Zhou
Kun He
VOT
AAML
200
1
0
17 Nov 2021
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
Haohan Wang
Zeyi Huang
Hanlin Zhang
Yong Jae Lee
Eric P. Xing
OOD
379
16
0
05 Nov 2021
3D-OOCS: Learning Prostate Segmentation with Inductive Bias
Shrajan Bhandary
Z. Babaiee
D. Kostyszyn
T. Fechter
C. Zamboglou
Anca-Ligia Grosu
Radu Grosu
171
1
0
29 Oct 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
Artificial Intelligence Review (AIR), 2021
Ahmed Aldahdooh
W. Hamidouche
Sid Ahmed Fezza
Olivier Déforges
AAML
698
161
0
01 May 2021
Relating Adversarially Robust Generalization to Flat Minima
IEEE International Conference on Computer Vision (ICCV), 2021
David Stutz
Matthias Hein
Bernt Schiele
OOD
288
78
0
09 Apr 2021
Unsupervised Robust Domain Adaptation without Source Data
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Peshal Agarwal
D. Paudel
Jan-Nico Zaech
Luc Van Gool
OOD
TTA
158
30
0
26 Mar 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness
Jie Ren
Die Zhang
Yisen Wang
Lu Chen
Zhanpeng Zhou
...
Feng He
Xin Eric Wang
Meng Zhou
Jie Shi
Quanshi Zhang
AAML
294
28
0
12 Mar 2021
Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling
Md. Shohidul Islam
Ihsen Alouani
Khaled N. Khasawneh
AAML
125
1
0
11 Mar 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection
Ahmed Aldahdooh
W. Hamidouche
Olivier Déforges
AAML
277
34
0
09 Mar 2021
And/or trade-off in artificial neurons: impact on adversarial robustness
A. Fontana
AAML
190
0
0
15 Feb 2021
A Person Re-identification Data Augmentation Method with Adversarial Defense Effect
Yunpeng Gong
Zhiyong Zeng
Liwen Chen
Yi-Xiao Luo
Bin Weng
Feng Ye
AAML
230
20
0
21 Jan 2021
Evaluating adversarial robustness in simulated cerebellum
Liu Yuezhang
Bo Li
Qifeng Chen
AAML
247
2
0
05 Dec 2020
Extreme Value Preserving Networks
Mingjie Sun
Jianguo Li
Changshui Zhang
AAML
MDE
126
0
0
17 Nov 2020
Linking average- and worst-case perturbation robustness via class selectivity and dimensionality
Matthew L. Leavitt
Ari S. Morcos
AAML
205
2
0
14 Oct 2020
Improving adversarial robustness of deep neural networks by using semantic information
Lina Wang
Rui Tang
Yawei Yue
Xingshu Chen
Wei Wang
Yi Zhu
Xuemei Zeng
AAML
205
17
0
18 Aug 2020
Defending Adversarial Examples via DNN Bottleneck Reinforcement
ACM Multimedia (ACM MM), 2020
Wenqing Liu
Miaojing Shi
Teddy Furon
Li Li
AAML
176
8
0
12 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey
ACM Computing Surveys (ACM CSUR), 2020
A. Serban
E. Poll
Joost Visser
AAML
420
80
0
07 Aug 2020
Quaternion Capsule Networks
International Conference on Pattern Recognition (ICPR), 2020
B. Özcan
Furkan Kinli
Mustafa Furkan Kıraç
3DPC
141
10
0
08 Jul 2020
Defensive Approximation: Securing CNNs using Approximate Computing
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020
Amira Guesmi
Ihsen Alouani
Khaled N. Khasawneh
M. Baklouti
T. Frikha
Mohamed Abid
Nael B. Abu-Ghazaleh
AAML
205
43
0
13 Jun 2020
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense
Jay N. Paranjape
R. Dubey
Vijendran V. Gopalan
AAML
139
2
0
02 Jun 2020
RAID: Randomized Adversarial-Input Detection for Neural Networks
Hasan Ferit Eniser
M. Christakis
Valentin Wüstholz
AAML
256
17
0
07 Feb 2020
Minimax Defense against Gradient-based Adversarial Attacks
Blerta Lindqvist
R. Izmailov
AAML
95
0
0
04 Feb 2020
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method
Junjie Hu
Takayuki Okatani
AAML
MDE
125
19
0
20 Nov 2019
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey
Olakunle Ibitoye
Rana Abou-Khamis
Mohamed el Shehaby
Ashraf Matrawy
M. O. Shafiq
AAML
466
72
0
06 Nov 2019
HAWKEYE: Adversarial Example Detector for Deep Neural Networks
Jinkyu Koo
Michael A. Roth
S. Bagchi
AAML
404
3
0
22 Sep 2019
Inspecting adversarial examples using the Fisher information
Jörg Martin
Clemens Elster
AAML
102
15
0
12 Sep 2019
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples
International Conference on Artificial Neural Networks (ICANN), 2019
Marcus Soll
Tobias Hinz
S. Magg
S. Wermter
AAML
139
23
0
21 Aug 2019
Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve
International Conference on Cryptography and Security Systems (ICCSS), 2019
D. D. Thang
Toshihiro Matsui
AAML
92
4
0
05 Aug 2019
Defending Adversarial Attacks by Correcting logits
Yifeng Li
Lingxi Xie
Ya Zhang
Rui Zhang
Yanfeng Wang
Qi Tian
AAML
118
5
0
26 Jun 2019
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks
Koby Bibas
Yaniv Fogel
M. Feder
BDL
152
21
0
28 Apr 2019
A Robust Approach for Securing Audio Classification Against Adversarial Attacks
Mohammad Esmaeilpour
P. Cardinal
Alessandro Lameiras Koerich
AAML
176
77
0
24 Apr 2019
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks
N. Benjamin Erichson
Z. Yao
Michael W. Mahoney
AAML
131
27
0
07 Apr 2019
Blurred Images Lead to Bad Local Minima
Gal Katzhendler
D. Weinshall
50
1
0
30 Jan 2019
Spartan Networks: Self-Feature-Squeezing Neural Networks for increased robustness in adversarial settings
François Menet
Paul Berthier
José M. Fernandez
M. Gagnon
AAML
88
12
0
17 Dec 2018
Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks
Xiang Li
Shihao Ji
AAML
155
29
0
17 Dec 2018
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
653
305
0
03 Dec 2018
FineFool: Fine Object Contour Attack via Attention
Jinyin Chen
Haibin Zheng
Hui Xiong
Mengmeng Su
AAML
131
3
0
01 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding
Bo Sun
Nian-hsuan Tsai
Fangchen Liu
Ronald Yu
Hao Su
AAML
292
84
0
30 Nov 2018
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces
IEEE International Joint Conference on Neural Network (IJCNN), 2018
Ziv Katzir
Yuval Elovici
AAML
124
27
0
22 Nov 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILM
AAML
253
50
0
02 Oct 2018
Training Machine Learning Models by Regularizing their Explanations
A. Ross
FaML
121
0
0
29 Sep 2018
Deep learning systems as complex networks
Journal of Complex Networks (J. Complex Netw.), 2018
Alberto Testolin
Michele Piccolini
S. Suweis
AI4CE
BDL
GNN
117
30
0
28 Sep 2018
Generalized Capsule Networks with Trainable Routing Procedure
Zhenhua Chen
David J. Crandall
3DPC
MedIm
154
31
0
27 Aug 2018
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer
Ryan P. Adams
Ian Goodfellow
David G. Andersen
George E. Dahl
AAML
271
238
0
18 Jul 2018
Bidirectional Learning for Robust Neural Networks
S. Pontes-Filho
Marcus Liwicki
140
9
0
21 May 2018
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