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Adversarial Image Perturbation for Privacy Protection -- A Game Theory
  Perspective

Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective

28 March 2017
Seong Joon Oh
Mario Fritz
Bernt Schiele
    CVBM
    AAML
ArXivPDFHTML

Papers citing "Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective"

22 / 22 papers shown
Title
A Domain Based Approach to Social Relation Recognition
A Domain Based Approach to Social Relation Recognition
Qianru Sun
Bernt Schiele
Mario Fritz
43
102
0
21 Apr 2017
Learning Deep Features via Congenerous Cosine Loss for Person
  Recognition
Learning Deep Features via Congenerous Cosine Loss for Person Recognition
Yu Liu
Hongyang Li
Xiaogang Wang
CVBM
33
50
0
22 Feb 2017
Simple Black-Box Adversarial Perturbations for Deep Networks
Simple Black-Box Adversarial Perturbations for Deep Networks
Nina Narodytska
S. Kasiviswanathan
AAML
32
237
0
19 Dec 2016
Sequential Person Recognition in Photo Albums with a Recurrent Network
Sequential Person Recognition in Photo Albums with a Recurrent Network
Yao Li
Guosheng Lin
Bohan Zhuang
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
37
29
0
30 Nov 2016
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
87
1,726
0
08 Nov 2016
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
88
2,518
0
26 Oct 2016
Assessing Threat of Adversarial Examples on Deep Neural Networks
Assessing Threat of Adversarial Examples on Deep Neural Networks
Abigail Graese
Andras Rozsa
Terrance E. Boult
AAML
23
57
0
13 Oct 2016
Defeating Image Obfuscation with Deep Learning
Defeating Image Obfuscation with Deep Learning
R. McPherson
Reza Shokri
Vitaly Shmatikov
CVBM
34
168
0
01 Sep 2016
Faceless Person Recognition; Privacy Implications in Social Media
Faceless Person Recognition; Privacy Implications in Social Media
Seong Joon Oh
Rodrigo Benenson
Mario Fritz
Bernt Schiele
CVBM
329
154
0
28 Jul 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
447
5,866
0
08 Jul 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks
  using Adversarial Samples
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
SILM
AAML
54
1,733
0
24 May 2016
Adversarial Diversity and Hard Positive Generation
Adversarial Diversity and Hard Positive Generation
Andras Rozsa
Ethan M. Rudd
Terrance E. Boult
21
256
0
05 May 2016
Can we still avoid automatic face detection?
Can we still avoid automatic face detection?
Michael J. Wilber
Vitaly Shmatikov
Serge J. Belongie
PICV
CVBM
19
56
0
14 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
658
192,387
0
10 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
77
4,870
0
14 Nov 2015
Learning with a Strong Adversary
Learning with a Strong Adversary
Ruitong Huang
Bing Xu
Dale Schuurmans
Csaba Szepesvári
AAML
24
358
0
10 Nov 2015
Person Recognition in Personal Photo Collections
Person Recognition in Personal Photo Collections
Seong Joon Oh
Rodrigo Benenson
Mario Fritz
Bernt Schiele
CVBM
378
53
0
11 Sep 2015
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues
Ning Zhang
Manohar Paluri
Yaniv Taigman
Rob Fergus
Lubomir D. Bourdev
CVBM
27
153
0
23 Jan 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
93
18,883
0
20 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
144
43,481
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
356
99,915
0
04 Sep 2014
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
41
14,807
1
21 Dec 2013
1