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Colored Noise Injection for Training Adversarially Robust Neural
  Networks

Colored Noise Injection for Training Adversarially Robust Neural Networks

4 March 2020
Evgenii Zheltonozhskii
Chaim Baskin
Yaniv Nemcovsky
Brian Chmiel
A. Mendelson
A. Bronstein
    AAML
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Papers citing "Colored Noise Injection for Training Adversarially Robust Neural Networks"

4 / 4 papers shown
Title
Decoupling Direction and Norm for Efficient Gradient-Based L2
  Adversarial Attacks and Defenses
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony
L. G. Hafemann
Luiz Eduardo Soares de Oliveira
Ismail Ben Ayed
R. Sabourin
Eric Granger
AAML
26
299
0
23 Nov 2018
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
97
1,727
0
08 Nov 2016
Variational Dropout and the Local Reparameterization Trick
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma
Tim Salimans
Max Welling
BDL
95
1,500
0
08 Jun 2015
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
63
14,831
1
21 Dec 2013
1