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1412.5068
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Towards Deep Neural Network Architectures Robust to Adversarial Examples
International Conference on Learning Representations (ICLR), 2014
11 December 2014
S. Gu
Luca Rigazio
AAML
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Papers citing
"Towards Deep Neural Network Architectures Robust to Adversarial Examples"
50 / 417 papers shown
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study
David Mickisch
F. Assion
Florens Greßner
W. Günther
M. Motta
AAML
146
40
0
05 Feb 2020
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles
Yilan Li
Senem Velipasalar
AAML
145
8
0
25 Jan 2020
Secure and Robust Machine Learning for Healthcare: A Survey
IEEE Reviews in Biomedical Engineering (RBME), 2020
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
260
444
0
21 Jan 2020
PaRoT: A Practical Framework for Robust Deep Neural Network Training
NASA Formal Methods (NFM), 2020
Edward W. Ayers
Francisco Eiras
Majd Hawasly
I. Whiteside
OOD
332
19
0
07 Jan 2020
Statistically Robust Neural Network Classification
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
Benjie Wang
Stefan Webb
Tom Rainforth
OOD
AAML
237
22
0
10 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random search
European Conference on Computer Vision (ECCV), 2019
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
Matthias Hein
AAML
770
1,171
0
29 Nov 2019
Towards Security Threats of Deep Learning Systems: A Survey
Yingzhe He
Guozhu Meng
Kai Chen
Xingbo Hu
Jinwen He
AAML
ELM
253
15
0
28 Nov 2019
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method
Junjie Hu
Takayuki Okatani
AAML
MDE
125
18
0
20 Nov 2019
WITCHcraft: Efficient PGD attacks with random step size
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Ping Yeh-Chiang
Jonas Geiping
Micah Goldblum
Tom Goldstein
Renkun Ni
Steven Reich
Ali Shafahi
AAML
130
13
0
18 Nov 2019
Countering Inconsistent Labelling by Google's Vision API for Rotated Images
Advances in Intelligent Systems and Computing (AISC), 2019
Aman Apte
A. Bandyopadhyay
K. Shenoy
Jason Peter Andrews
Aditya Rathod
Manish Agnihotri
Aditya Jajodia
87
2
0
17 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
234
114
0
13 Nov 2019
A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning
Yasaman Esfandiari
Aditya Balu
K. Ebrahimi
Umesh Vaidya
N. Elia
Soumik Sarkar
OOD
182
3
0
18 Oct 2019
Testing and verification of neural-network-based safety-critical control software: A systematic literature review
Information and Software Technology (IST), 2019
Jin Zhang
Jingyue Li
224
57
0
05 Oct 2019
Universal Approximation with Certified Networks
International Conference on Learning Representations (ICLR), 2019
Maximilian Baader
M. Mirman
Martin Vechev
143
23
0
30 Sep 2019
HAWKEYE: Adversarial Example Detector for Deep Neural Networks
Jinkyu Koo
Michael A. Roth
S. Bagchi
AAML
404
3
0
22 Sep 2019
Training Robust Deep Neural Networks via Adversarial Noise Propagation
IEEE Transactions on Image Processing (TIP), 2019
Aishan Liu
Xianglong Liu
Chongzhi Zhang
Hang Yu
Qiang Liu
Dacheng Tao
AAML
120
135
0
19 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
International Journal of Automation and Computing (IJAC), 2019
Han Xu
Yao Ma
Haochen Liu
Debayan Deb
Hui Liu
Shucheng Zhou
Anil K. Jain
AAML
331
729
0
17 Sep 2019
On educating machines
George Leu
Jiangjun Tang
AI4CE
101
0
0
13 Sep 2019
Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders
Pratik Vaishnavi
Kevin Eykholt
A. Prakash
Amir Rahmati
AAML
175
2
0
12 Sep 2019
An Empirical Investigation of Randomized Defenses against Adversarial Attacks
Yannik Potdevin
Dirk Nowotka
Vijay Ganesh
AAML
104
4
0
12 Sep 2019
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection
Byunggill Joe
Sung Ju Hwang
I. Shin
AAML
83
2
0
10 Sep 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Yichao Zhou
Jyun-Yu Jiang
Kai-Wei Chang
Wei Wang
AAML
140
132
0
06 Sep 2019
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ?
Alfred Laugros
A. Caplier
Matthieu Ospici
AAML
172
44
0
04 Sep 2019
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Ka-Ho Chow
Wenqi Wei
Yanzhao Wu
Ling Liu
AAML
163
17
0
21 Aug 2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
IEEE International Conference on Computer Vision (ICCV), 2019
Jiangfan Han
Xiaoyi Dong
Ruimao Zhang
Dongdong Chen
Weiming Zhang
Nenghai Yu
Ping Luo
Xiaogang Wang
AAML
198
31
0
14 Aug 2019
Benchmarking the Robustness of Semantic Segmentation Models
International Journal of Computer Vision (IJCV), 2019
Christoph Kamann
Carsten Rother
VLM
UQCV
318
182
0
14 Aug 2019
Robust Learning with Jacobian Regularization
Judy Hoffman
Daniel A. Roberts
Sho Yaida
OOD
AAML
177
193
0
07 Aug 2019
Random Directional Attack for Fooling Deep Neural Networks
Wenjian Luo
Chenwang Wu
Nan Zhou
Li Ni
AAML
89
5
0
06 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
Adversarial Robustness Curves
Christina Göpfert
Jan Philip Göpfert
Barbara Hammer
AAML
98
6
0
31 Jul 2019
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
Pattern Recognition (Pattern Recognit.), 2019
Jiabo He
Yuhao Niu
Lin Gu
Yisen Wang
Yitian Zhao
James Bailey
Feng Lu
MedIm
AAML
317
516
0
24 Jul 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
International Conference on Machine Learning (ICML), 2019
Francesco Croce
Matthias Hein
AAML
548
566
0
03 Jul 2019
Treant: Training Evasion-Aware Decision Trees
Data mining and knowledge discovery (DMKD), 2019
Stefano Calzavara
Claudio Lucchese
Gabriele Tolomei
S. Abebe
S. Orlando
AAML
142
43
0
02 Jul 2019
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks
R. Sahay
Rehana Mahfuz
Aly El Gamal
AAML
76
5
0
13 Jun 2019
Enhancing Gradient-based Attacks with Symbolic Intervals
Shiqi Wang
Yizheng Chen
Ahmed Abdou
Suman Jana
AAML
111
15
0
05 Jun 2019
Adversarial Training is a Form of Data-dependent Operator Norm Regularization
Kevin Roth
Yannic Kilcher
Thomas Hofmann
200
13
0
04 Jun 2019
Are Labels Required for Improving Adversarial Robustness?
Neural Information Processing Systems (NeurIPS), 2019
J. Uesato
Jean-Baptiste Alayrac
Po-Sen Huang
Robert Stanforth
Alhussein Fawzi
Pushmeet Kohli
AAML
211
355
0
31 May 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
IEEE Communications Surveys and Tutorials (COMST), 2019
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
220
211
0
29 May 2019
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification
International Conference on Learning Representations (ICLR), 2019
Xuwang Yin
Soheil Kolouri
Gustavo K. Rohde
AAML
240
47
0
27 May 2019
Provable robustness against all adversarial
l
p
l_p
l
p
-perturbations for
p
≥
1
p\geq 1
p
≥
1
International Conference on Learning Representations (ICLR), 2019
Francesco Croce
Matthias Hein
OOD
153
77
0
27 May 2019
Style transfer-based image synthesis as an efficient regularization technique in deep learning
International Conference on Methods & Models in Automation & Robotics (MMAR), 2019
Agnieszka Mikołajczyk
M. Grochowski
OOD
208
23
0
27 May 2019
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
International Conference on Machine Learning (ICML), 2019
Alex Lamb
Jonathan Binas
Anirudh Goyal
Sandeep Subramanian
Alexia Jolicoeur-Martineau
Denis Kazakov
Yoshua Bengio
Michael C. Mozer
OOD
148
3
0
26 May 2019
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating
European Symposium on Security and Privacy (EuroS&P), 2019
Giulio Lovisotto
Simon Eberz
Ivan Martinovic
AAML
238
41
0
22 May 2019
Testing DNN Image Classifiers for Confusion & Bias Errors
International Conference on Software Engineering (ICSE), 2019
Yuchi Tian
Ziyuan Zhong
Vicente Ordonez
Gail E. Kaiser
Baishakhi Ray
306
54
0
20 May 2019
Exploring the Hyperparameter Landscape of Adversarial Robustness
Evelyn Duesterwald
Anupama Murthi
Ganesh Venkataraman
M. Sinn
Deepak Vijaykeerthy
AAML
108
7
0
09 May 2019
Analytical Moment Regularizer for Gaussian Robust Networks
Modar Alfadly
Adel Bibi
Guohao Li
AAML
78
4
0
24 Apr 2019
Interpreting Adversarial Examples with Attributes
Sadaf Gulshad
J. H. Metzen
A. Smeulders
Zeynep Akata
FAtt
AAML
196
6
0
17 Apr 2019
AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples
Xiaosen Wang
Kun He
Chuanbiao Song
Liwei Wang
John E. Hopcroft
GAN
123
39
0
16 Apr 2019
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks
N. Benjamin Erichson
Z. Yao
Michael W. Mahoney
AAML
121
27
0
07 Apr 2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks
Fatemeh Sheikholeslami
Swayambhoo Jain
G. Giannakis
AAML
188
25
0
05 Apr 2019
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