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Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian
  Approximation of Hidden Features

Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features

5 March 2021
Nicolas Berthier
Amany Alshareef
James Sharp
S. Schewe
Xiaowei Huang
ArXivPDFHTML

Papers citing "Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features"

5 / 5 papers shown
Title
A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
45
82
0
19 May 2023
A Safety Framework for Critical Systems Utilising Deep Neural Networks
A Safety Framework for Critical Systems Utilising Deep Neural Networks
Xingyu Zhao
Alec Banks
James Sharp
Valentin Robu
David Flynn
Michael Fisher
Xiaowei Huang
AAML
50
48
0
07 Mar 2020
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
17
47
0
05 Nov 2019
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
1,838
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
180
932
0
21 Oct 2016
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