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Do Deep Minds Think Alike? Selective Adversarial Attacks for
  Fine-Grained Manipulation of Multiple Deep Neural Networks

Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks

26 March 2020
Zain Khan
Jirong Yi
R. Mudumbai
Xiaodong Wu
Weiyu Xu
    AAML
    MLAU
ArXivPDFHTML

Papers citing "Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks"

13 / 13 papers shown
Title
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware
  Detection
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection
Aminollah Khormali
Ahmed A. Abusnaina
Songqing Chen
Daehun Nyang
Aziz Mohaisen
AAML
46
28
0
20 Sep 2019
Generalizable Adversarial Attacks with Latent Variable Perturbation
  Modelling
Generalizable Adversarial Attacks with Latent Variable Perturbation Modelling
A. Bose
Andre Cianflone
William L. Hamilton
OOD
AAML
31
7
0
26 May 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner
Stephan Günnemann
OOD
AAML
GNN
115
569
0
22 Feb 2019
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial
  Attacks
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
T. Brunner
Frederik Diehl
Michael Truong-Le
Alois Knoll
MLAU
AAML
37
116
0
24 Dec 2018
Feature Denoising for Improving Adversarial Robustness
Feature Denoising for Improving Adversarial Robustness
Cihang Xie
Yuxin Wu
Laurens van der Maaten
Alan Yuille
Kaiming He
76
907
0
09 Dec 2018
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for
  Attacking Black-box Neural Networks
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
Chun-Chen Tu
Pai-Shun Ting
Pin-Yu Chen
Sijia Liu
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
Shin-Ming Cheng
MLAU
AAML
65
396
0
30 May 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using
  Generative Models
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei
Maya Kabkab
Rama Chellappa
AAML
GAN
67
1,172
0
17 May 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
68
1,076
0
05 Jan 2018
The Space of Transferable Adversarial Examples
The Space of Transferable Adversarial Examples
Florian Tramèr
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
SILM
67
555
0
11 Apr 2017
Delving into Transferable Adversarial Examples and Black-box Attacks
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu
Xinyun Chen
Chang-rui Liu
D. Song
AAML
118
1,727
0
08 Nov 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
165
8,513
0
16 Aug 2016
Adversarial Perturbations Against Deep Neural Networks for Malware
  Classification
Adversarial Perturbations Against Deep Neural Networks for Malware Classification
Kathrin Grosse
Nicolas Papernot
Praveen Manoharan
Michael Backes
Patrick McDaniel
AAML
40
418
0
14 Jun 2016
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
166
14,831
1
21 Dec 2013
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