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Politics of Adversarial Machine Learning

Politics of Adversarial Machine Learning

1 February 2020
Kendra Albert
J. Penney
B. Schneier
Ramnath Kumar
    AAML
ArXivPDFHTML

Papers citing "Politics of Adversarial Machine Learning"

6 / 6 papers shown
Title
Advbox: a toolbox to generate adversarial examples that fool neural
  networks
Advbox: a toolbox to generate adversarial examples that fool neural networks
Dou Goodman
Xin Hao
Yang Wang
Yuesheng Wu
Junfeng Xiong
Huan Zhang
AAML
97
55
0
13 Jan 2020
Deep learning and face recognition: the state of the art
Deep learning and face recognition: the state of the art
Stephen Balaban
CVBM
3DH
34
106
0
10 Feb 2019
POTs: Protective Optimization Technologies
POTs: Protective Optimization Technologies
B. Kulynych
R. Overdorf
Carmela Troncoso
Seda F. Gürses
32
96
0
07 Jun 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
116
1,409
0
08 Dec 2017
Structured Occlusion Coding for Robust Face Recognition
Structured Occlusion Coding for Robust Face Recognition
Yandong Wen
Weiyang Liu
Meng Yang
Yuli Fu
Youjun Xiang
Rui Hu
CVBM
32
39
0
02 Feb 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
259
19,045
0
20 Dec 2014
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