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Towards the Quantification of Safety Risks in Deep Neural Networks

Towards the Quantification of Safety Risks in Deep Neural Networks

13 September 2020
Peipei Xu
Wenjie Ruan
Xiaowei Huang
ArXivPDFHTML

Papers citing "Towards the Quantification of Safety Risks in Deep Neural Networks"

13 / 13 papers shown
Title
Coverage Guided Testing for Recurrent Neural Networks
Coverage Guided Testing for Recurrent Neural Networks
Wei Huang
Youcheng Sun
Xing-E. Zhao
James Sharp
Wenjie Ruan
Jie Meng
Xiaowei Huang
AAML
62
47
0
05 Nov 2019
Structured Adversarial Attack: Towards General Implementation and Better
  Interpretability
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu
Sijia Liu
Pu Zhao
Pin-Yu Chen
Huan Zhang
Quanfu Fan
Deniz Erdogmus
Yanzhi Wang
Xinyu Lin
AAML
87
160
0
05 Aug 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
58
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
76
689
0
25 Apr 2018
Event-based Vision meets Deep Learning on Steering Prediction for
  Self-driving Cars
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars
A. I. Maqueda
Antonio Loquercio
Guillermo Gallego
Narciso García
Davide Scaramuzza
68
501
0
04 Apr 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
59
466
0
31 Jan 2018
NAG: Network for Adversary Generation
NAG: Network for Adversary Generation
Konda Reddy Mopuri
Utkarsh Ojha
Utsav Garg
R. Venkatesh Babu
AAML
61
144
0
09 Dec 2017
Attacking Binarized Neural Networks
Attacking Binarized Neural Networks
A. Galloway
Graham W. Taylor
M. Moussa
MQ
AAML
49
104
0
01 Nov 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
290
1,849
0
03 Feb 2017
Lipschitz Properties for Deep Convolutional Networks
Lipschitz Properties for Deep Convolutional Networks
R. Balan
Maneesh Kumar Singh
Dongmian Zou
55
48
0
18 Jan 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
198
935
0
21 Oct 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
168
8,513
0
16 Aug 2016
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
166
14,831
1
21 Dec 2013
1