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A3T: Adversarially Augmented Adversarial Training

A3T: Adversarially Augmented Adversarial Training

12 January 2018
Akram Erraqabi
A. Baratin
Yoshua Bengio
Simon Lacoste-Julien
    AAML
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Papers citing "A3T: Adversarially Augmented Adversarial Training"

4 / 4 papers shown
Title
Adversarial Example Games
Adversarial Example Games
A. Bose
Gauthier Gidel
Hugo Berrard
Andre Cianflone
Pascal Vincent
Simon Lacoste-Julien
William L. Hamilton
AAML
GAN
38
51
0
01 Jul 2020
On the Sensitivity of Adversarial Robustness to Input Data Distributions
On the Sensitivity of Adversarial Robustness to Input Data Distributions
G. Ding
Kry Yik-Chau Lui
Xiaomeng Jin
Luyu Wang
Ruitong Huang
OOD
26
59
0
22 Feb 2019
Fortified Networks: Improving the Robustness of Deep Networks by
  Modeling the Manifold of Hidden Representations
Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations
Alex Lamb
Jonathan Binas
Anirudh Goyal
Dmitriy Serdyuk
Sandeep Subramanian
Ioannis Mitliagkas
Yoshua Bengio
OOD
34
43
0
07 Apr 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,847
0
08 Jul 2016
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