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ROSA: Robust Salient Object Detection against Adversarial Attacks

ROSA: Robust Salient Object Detection against Adversarial Attacks

9 May 2019
Haofeng Li
Guanbin Li
Yizhou Yu
    AAML
ArXiv (abs)PDFHTML

Papers citing "ROSA: Robust Salient Object Detection against Adversarial Attacks"

42 / 42 papers shown
Title
Reverse Attention for Salient Object Detection
Reverse Attention for Salient Object Detection
Shuhan Chen
Xiuli Tan
Benge Wang
Xuelong Hu
62
559
0
26 Jul 2018
Adversarial Attack on Graph Structured Data
Adversarial Attack on Graph Structured Data
H. Dai
Hui Li
Tian Tian
Xin Huang
L. Wang
Jun Zhu
Le Song
GNNAAMLOOD
85
775
0
06 Jun 2018
Contrast-Oriented Deep Neural Networks for Salient Object Detection
Contrast-Oriented Deep Neural Networks for Salient Object Detection
Guanbin Li
Yizhou Yu
51
86
0
30 Mar 2018
Weakly Supervised Salient Object Detection Using Image Labels
Weakly Supervised Salient Object Detection Using Image Labels
Guanbin Li
Yuan Xie
Liang Lin
51
120
0
17 Mar 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using
  JPEG Compression
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Siwei Li
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
FedMLAAML
76
227
0
19 Feb 2018
Spatially Transformed Adversarial Examples
Spatially Transformed Adversarial Examples
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
Basel Alomair
AAML
76
523
0
08 Jan 2018
Defense against Adversarial Attacks Using High-Level Representation
  Guided Denoiser
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
Fangzhou Liao
Ming Liang
Yinpeng Dong
Tianyu Pang
Xiaolin Hu
Jun Zhu
83
886
0
08 Dec 2017
Generative Adversarial Perturbations
Generative Adversarial Perturbations
Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge J. Belongie
AAMLGANWIGM
72
355
0
06 Dec 2017
Defense against Universal Adversarial Perturbations
Defense against Universal Adversarial Perturbations
Naveed Akhtar
Jian Liu
Ajmal Mian
AAML
76
208
0
16 Nov 2017
Mitigating Adversarial Effects Through Randomization
Mitigating Adversarial Effects Through Randomization
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
AAML
113
1,059
0
06 Nov 2017
Countering Adversarial Images using Input Transformations
Countering Adversarial Images using Input Transformations
Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
AAML
114
1,405
0
31 Oct 2017
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
169
601
0
31 Oct 2017
PixelDefend: Leveraging Generative Models to Understand and Defend
  against Adversarial Examples
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
Yang Song
Taesup Kim
Sebastian Nowozin
Stefano Ermon
Nate Kushman
AAML
110
790
0
30 Oct 2017
Learning Uncertain Convolutional Features for Accurate Saliency
  Detection
Learning Uncertain Convolutional Features for Accurate Saliency Detection
Pingping Zhang
D. Wang
Huchuan Lu
Hongyu Wang
Baocai Yin
81
430
0
07 Aug 2017
Amulet: Aggregating Multi-level Convolutional Features for Salient
  Object Detection
Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
Pingping Zhang
D. Wang
Huchuan Lu
Hongyu Wang
Xiang Ruan
69
738
0
07 Aug 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
307
12,069
0
19 Jun 2017
Hierarchical Cellular Automata for Visual Saliency
Hierarchical Cellular Automata for Visual Saliency
Yao Qin
Mengyang Feng
Huchuan Lu
G. Cottrell
54
58
0
26 May 2017
Instance-Level Salient Object Segmentation
Instance-Level Salient Object Segmentation
Guanbin Li
Yuan Xie
Liang Lin
Yizhou Yu
51
281
0
12 Apr 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
85
1,269
0
04 Apr 2017
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
Jiajun Lu
Theerasit Issaranon
David A. Forsyth
GAN
90
380
0
01 Apr 2017
Adversarial Examples for Semantic Segmentation and Object Detection
Adversarial Examples for Semantic Segmentation and Object Detection
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Yuyin Zhou
Lingxi Xie
Alan Yuille
GANAAML
104
933
0
24 Mar 2017
On Detecting Adversarial Perturbations
On Detecting Adversarial Perturbations
J. H. Metzen
Tim Genewein
Volker Fischer
Bastian Bischoff
AAML
61
950
0
14 Feb 2017
Adversarial Examples Detection in Deep Networks with Convolutional
  Filter Statistics
Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics
Xin Li
Fuxin Li
GANAAML
110
365
0
22 Dec 2016
Deeply supervised salient object detection with short connections
Deeply supervised salient object detection with short connections
Qibin Hou
Ming-Ming Cheng
Xiao-Wei Hu
Ali Borji
Zhuowen Tu
Philip Torr
69
1,330
0
15 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
Basel Alomair
AAML
140
1,737
0
08 Nov 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
472
3,144
0
04 Nov 2016
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
139
2,527
0
26 Oct 2016
Visual Saliency Detection Based on Multiscale Deep CNN Features
Visual Saliency Detection Based on Multiscale Deep CNN Features
Guanbin Li
Yizhou Yu
FAtt
73
337
0
07 Sep 2016
Deep Contrast Learning for Salient Object Detection
Deep Contrast Learning for Salient Object Detection
Guanbin Li
Yizhou Yu
72
730
0
07 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
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
151
4,897
0
14 Nov 2015
Distillation as a Defense to Adversarial Perturbations against Deep
  Neural Networks
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
Nicolas Papernot
Patrick McDaniel
Xi Wu
S. Jha
A. Swami
AAML
103
3,072
0
14 Nov 2015
STC: A Simple to Complex Framework for Weakly-supervised Semantic
  Segmentation
STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation
Yunchao Wei
Xiaodan Liang
Yunpeng Chen
Xiaohui Shen
Ming-Ming Cheng
Jiashi Feng
Yao-Min Zhao
Shuicheng Yan
106
554
0
10 Sep 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
135
3,494
0
24 Apr 2015
Visual Saliency Based on Multiscale Deep Features
Visual Saliency Based on Multiscale Deep Features
Guanbin Li
Yizhou Yu
FAtt
95
1,226
0
30 Mar 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
241
2,536
0
11 Feb 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
277
19,066
0
20 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
169
3,271
0
05 Dec 2014
Salient Object Detection: A Discriminative Regional Feature Integration
  Approach
Salient Object Detection: A Discriminative Regional Feature Integration Approach
Huaizu Jiang
Zejian Yuan
Ming-Ming Cheng
Yihong Gong
Nanning Zheng
Jingdong Wang
FAtt
103
1,270
0
22 Oct 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
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
275
14,927
1
21 Dec 2013
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
132
3,452
0
20 Oct 2012
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