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Defense against Adversarial Attacks Using High-Level Representation
  Guided Denoiser

Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser

8 December 2017
Fangzhou Liao
Ming Liang
Yinpeng Dong
Tianyu Pang
Xiaolin Hu
Jun Zhu
ArXivPDFHTML

Papers citing "Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser"

4 / 154 papers shown
Title
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 Defense based on Structure-to-Signal Autoencoders
Adversarial Defense based on Structure-to-Signal Autoencoders
Joachim Folz
Sebastián M. Palacio
Jörn Hees
Damian Borth
Andreas Dengel
AAML
26
31
0
21 Mar 2018
A General Framework for Adversarial Examples with Objectives
A General Framework for Adversarial Examples with Objectives
Mahmood Sharif
Sruti Bhagavatula
Lujo Bauer
Michael K. Reiter
AAML
GAN
13
191
0
31 Dec 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
273
3,110
0
04 Nov 2016
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