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Enhancing Robustness of Machine Learning Systems via Data
  Transformations
v1v2v3v4 (latest)

Enhancing Robustness of Machine Learning Systems via Data Transformations

9 April 2017
A. Bhagoji
Daniel Cullina
Chawin Sitawarin
Prateek Mittal
    AAML
ArXiv (abs)PDFHTML

Papers citing "Enhancing Robustness of Machine Learning Systems via Data Transformations"

5 / 105 papers shown
Title
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILMAAML
156
1,628
0
19 Dec 2017
Detecting Adversarial Attacks on Neural Network Policies with Visual
  Foresight
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight
Yen-Chen Lin
Ming-Yuan Liu
Min Sun
Jia-Bin Huang
AAML
96
48
0
02 Oct 2017
Detecting Adversarial Image Examples in Deep Networks with Adaptive
  Noise Reduction
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Bin Liang
Hongcheng Li
Miaoqiang Su
Xirong Li
Wenchang Shi
Xiaofeng Wang
AAML
133
219
0
23 May 2017
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with
  JPEG Compression
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
AAML
89
307
0
08 May 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural
  Networks
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu
David Evans
Yanjun Qi
AAML
104
1,283
0
04 Apr 2017
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