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Adversarial Recommendation: Attack of the Learned Fake Users

Adversarial Recommendation: Attack of the Learned Fake Users

21 September 2018
Konstantina Christakopoulou
A. Banerjee
    AAML
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Papers citing "Adversarial Recommendation: Attack of the Learned Fake Users"

15 / 15 papers shown
Title
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNN
AAML
OOD
159
1,069
0
21 May 2018
Data Augmentation Generative Adversarial Networks
Data Augmentation Generative Adversarial Networks
Antreas Antoniou
Amos Storkey
Harrison Edwards
MedIm
GAN
135
1,071
0
12 Nov 2017
Visually-Aware Fashion Recommendation and Design with Generative Image
  Models
Visually-Aware Fashion Recommendation and Design with Generative Image Models
Wang-Cheng Kang
Chen Fang
Zhaowen Wang
Julian McAuley
54
251
0
07 Nov 2017
One pixel attack for fooling deep neural networks
One pixel attack for fooling deep neural networks
Jiawei Su
Danilo Vasconcellos Vargas
Kouichi Sakurai
AAML
127
2,324
0
24 Oct 2017
Data Decisions and Theoretical Implications when Adversarially Learning
  Fair Representations
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations
Alex Beutel
Jilin Chen
Zhe Zhao
Ed H. Chi
FaML
103
442
0
01 Jul 2017
IRGAN: A Minimax Game for Unifying Generative and Discriminative
  Information Retrieval Models
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
Jun Wang
Lantao Yu
Weinan Zhang
Yu Gong
Yinghui Xu
Benyou Wang
Peng Zhang
Dell Zhang
83
600
0
30 May 2017
Towards the Science of Security and Privacy in Machine Learning
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot
Patrick McDaniel
Arunesh Sinha
Michael P. Wellman
AAML
81
474
0
11 Nov 2016
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
136
2,527
0
26 Oct 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
258
14,012
0
19 Nov 2015
Censoring Representations with an Adversary
Censoring Representations with an Adversary
Harrison Edwards
Amos Storkey
AAML
FaML
66
505
0
18 Nov 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
151
4,897
0
14 Nov 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
378
9,497
0
28 May 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,066
0
20 Dec 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
270
14,927
1
21 Dec 2013
Optimal rates for zero-order convex optimization: the power of two
  function evaluations
Optimal rates for zero-order convex optimization: the power of two function evaluations
John C. Duchi
Michael I. Jordan
Martin J. Wainwright
Andre Wibisono
77
486
0
07 Dec 2013
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