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Understanding Local Robustness of Deep Neural Networks under Natural
  Variations

Understanding Local Robustness of Deep Neural Networks under Natural Variations

9 October 2020
Ziyuan Zhong
Yuchi Tian
Baishakhi Ray
    AAML
ArXivPDFHTML

Papers citing "Understanding Local Robustness of Deep Neural Networks under Natural Variations"

5 / 5 papers shown
Title
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep
  Neural Networks: The Case of Reject Option and Post-training Processing
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing
M. Hasan
Moloud Abdar
Abbas Khosravi
U. Aickelin
Pietro Lio
Ibrahim Hossain
Ashikur Rahman
Saeid Nahavandi
37
4
0
11 Apr 2023
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
249
1,842
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
183
933
0
21 Oct 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
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