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Automated Design of Linear Bounding Functions for Sigmoidal
  Nonlinearities in Neural Networks

Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks

14 June 2024
Matthias König
Xiyue Zhang
Holger H. Hoos
Marta Kwiatkowska
Jan N. van Rijn
    AAML
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Papers citing "Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks"

4 / 4 papers shown
Title
PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks
PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks
Xiyue Zhang
Benjie Wang
Marta Kwiatkowska
Huan Zhang
AAML
36
2
0
17 Aug 2024
Output Reachable Set Estimation and Verification for Multi-Layer Neural
  Networks
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
81
292
0
09 Aug 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
228
1,835
0
03 Feb 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
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