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Defending Against Adversarial Attacks by Leveraging an Entire GAN

Defending Against Adversarial Attacks by Leveraging an Entire GAN

27 May 2018
G. Santhanam
Paulina Grnarova
    AAML
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Papers citing "Defending Against Adversarial Attacks by Leveraging an Entire GAN"

5 / 5 papers shown
Title
Machine Learning in NextG Networks via Generative Adversarial Networks
Machine Learning in NextG Networks via Generative Adversarial Networks
E. Ayanoglu
Kemal Davaslioglu
Y. Sagduyu
GAN
21
34
0
09 Mar 2022
Invert and Defend: Model-based Approximate Inversion of Generative
  Adversarial Networks for Secure Inference
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
Wei-An Lin
Yogesh Balaji
Pouya Samangouei
Rama Chellappa
25
6
0
23 Nov 2019
Motivating the Rules of the Game for Adversarial Example Research
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer
Ryan P. Adams
Ian Goodfellow
David G. Andersen
George E. Dahl
AAML
33
226
0
18 Jul 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,545
0
25 Jan 2016
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