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Robustness Guarantees for Deep Neural Networks on Videos

Robustness Guarantees for Deep Neural Networks on Videos

28 June 2019
Min Wu
Marta Z. Kwiatkowska
    AAML
ArXivPDFHTML

Papers citing "Robustness Guarantees for Deep Neural Networks on Videos"

24 / 24 papers shown
Title
POPQORN: Quantifying Robustness of Recurrent Neural Networks
POPQORN: Quantifying Robustness of Recurrent Neural Networks
Ching-Yun Ko
Zhaoyang Lyu
Tsui-Wei Weng
Luca Daniel
Ngai Wong
Dahua Lin
AAML
38
76
0
17 May 2019
Adversarial Attacks for Optical Flow-Based Action Recognition
  Classifiers
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers
Nathan Inkawhich
Matthew J. Inkawhich
Yiran Chen
H. Li
AAML
30
38
0
28 Nov 2018
Verification of Recurrent Neural Networks Through Rule Extraction
Verification of Recurrent Neural Networks Through Rule Extraction
Qinglong Wang
Kaixuan Zhang
Xue Liu
C. Lee Giles
AAML
49
18
0
14 Nov 2018
Efficient Neural Network Robustness Certification with General
  Activation Functions
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang
Tsui-Wei Weng
Pin-Yu Chen
Cho-Jui Hsieh
Luca Daniel
AAML
87
756
0
02 Nov 2018
A Game-Based Approximate Verification of Deep Neural Networks with
  Provable Guarantees
A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees
Min Wu
Matthew Wicker
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
AAML
50
111
0
10 Jul 2018
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
AAML
74
270
0
06 May 2018
Towards Fast Computation of Certified Robustness for ReLU Networks
Towards Fast Computation of Certified Robustness for ReLU Networks
Tsui-Wei Weng
Huan Zhang
Hongge Chen
Zhao Song
Cho-Jui Hsieh
Duane S. Boning
Inderjit S. Dhillon
Luca Daniel
AAML
89
691
0
25 Apr 2018
Sparse Adversarial Perturbations for Videos
Sparse Adversarial Perturbations for Videos
Xingxing Wei
Jun Zhu
Hang Su
AAML
52
139
0
07 Mar 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory
  Approach
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng
Huan Zhang
Pin-Yu Chen
Jinfeng Yi
D. Su
Yupeng Gao
Cho-Jui Hsieh
Luca Daniel
AAML
78
467
0
31 Jan 2018
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the
  iCub Humanoid
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid
Marco Melis
Ambra Demontis
Battista Biggio
Gavin Brown
Giorgio Fumera
Fabio Roli
AAML
50
98
0
23 Aug 2017
Formal Guarantees on the Robustness of a Classifier against Adversarial
  Manipulation
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein
Maksym Andriushchenko
AAML
97
511
0
23 May 2017
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks
Rüdiger Ehlers
91
624
0
03 May 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
301
1,860
0
03 Feb 2017
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
130
2,525
0
26 Oct 2016
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
200
938
0
21 Oct 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
239
8,548
0
16 Aug 2016
Crafting Adversarial Input Sequences for Recurrent Neural Networks
Crafting Adversarial Input Sequences for Recurrent Neural Networks
Nicolas Papernot
Patrick McDaniel
A. Swami
Richard E. Harang
AAML
GAN
SILM
40
456
0
28 Apr 2016
The Limitations of Deep Learning in Adversarial Settings
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot
Patrick McDaniel
S. Jha
Matt Fredrikson
Z. Berkay Celik
A. Swami
AAML
90
3,955
0
24 Nov 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
243
19,017
0
20 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
387
20,528
0
10 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
1.5K
100,213
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
249
14,893
1
21 Dec 2013
Speech Recognition with Deep Recurrent Neural Networks
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves
Abdel-rahman Mohamed
Geoffrey E. Hinton
206
8,507
0
22 Mar 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
CLIP
VGen
133
6,134
0
03 Dec 2012
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