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PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos

PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos

13 September 2021
Nupur Thakur
Baoxin Li
    AAML
ArXiv (abs)PDFHTML

Papers citing "PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos"

28 / 28 papers shown
Title
Defending Against Multiple and Unforeseen Adversarial Videos
Defending Against Multiple and Unforeseen Adversarial Videos
Shao-Yuan Lo
Vishal M. Patel
AAML
58
24
0
11 Sep 2020
Evaluating a Simple Retraining Strategy as a Defense Against Adversarial
  Attacks
Evaluating a Simple Retraining Strategy as a Defense Against Adversarial Attacks
Nupur Thakur
Yuzhen Ding
Baoxin Li
AAML
15
3
0
20 Jul 2020
RANet: Ranking Attention Network for Fast Video Object Segmentation
RANet: Ranking Attention Network for Fast Video Object Segmentation
Ziqin Wang
Jun Xu
Li Liu
Fan Zhu
Ling Shao
VOS
75
204
0
19 Aug 2019
Black-box Adversarial Attacks on Video Recognition Models
Black-box Adversarial Attacks on Video Recognition Models
Linxi Jiang
Xingjun Ma
Shaoxiang Chen
James Bailey
Yu-Gang Jiang
AAMLMLAU
50
147
0
10 Apr 2019
Learning Correspondence from the Cycle-Consistency of Time
Learning Correspondence from the Cycle-Consistency of Time
Xinyu Wang
Allan Jabri
Alexei A. Efros
SSL
86
491
0
18 Mar 2019
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using
  Generative Models
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei
Maya Kabkab
Rama Chellappa
AAMLGAN
86
1,179
0
17 May 2018
Improving Transferability of Adversarial Examples with Input Diversity
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
AAML
108
1,125
0
19 Mar 2018
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara
Hirokatsu Kataoka
Y. Satoh
3DPC
128
1,935
0
27 Nov 2017
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
186
601
0
31 Oct 2017
Learning to Detect Violent Videos using Convolutional Long Short-Term
  Memory
Learning to Detect Violent Videos using Convolutional Long Short-Term Memory
Swathikiran Sudhakaran
Oswald Lanz
61
216
0
19 Sep 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
317
12,131
0
19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
177
2,729
0
19 May 2017
Adversarial Transformation Networks: Learning to Generate Adversarial
  Examples
Adversarial Transformation Networks: Learning to Generate Adversarial Examples
S. Baluja
Ian S. Fischer
GAN
79
286
0
28 Mar 2017
Adversarial examples for generative models
Adversarial examples for generative models
Jernej Kos
Ian S. Fischer
Basel Alomair
GAN
77
274
0
22 Feb 2017
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
Basel Alomair
AAML
143
1,741
0
08 Nov 2016
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
150
2,533
0
26 Oct 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
282
8,583
0
16 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILMAAML
545
5,910
0
08 Jul 2016
Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
166
2,612
0
22 Apr 2016
Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell
Kaiyu Yang
Jia Deng
3DH
119
5,037
0
22 Mar 2016
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAUAAML
75
3,682
0
08 Feb 2016
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
154
4,905
0
14 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
389
13,170
0
12 Mar 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,121
0
20 Dec 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
165
6,056
0
17 Nov 2014
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
256
7,542
0
09 Jun 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
282
14,963
1
21 Dec 2013
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
K. Soomro
Amir Zamir
M. Shah
CLIPVGen
160
6,164
0
03 Dec 2012
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