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Set-Based Training for Neural Network Verification

Set-Based Training for Neural Network Verification

26 January 2024
Lukas Koller
Tobias Ladner
Matthias Althoff
    AAML
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Papers citing "Set-Based Training for Neural Network Verification"

4 / 4 papers shown
Title
Training Verifiably Robust Agents Using Set-Based Reinforcement Learning
Training Verifiably Robust Agents Using Set-Based Reinforcement Learning
Manuel Wendl
Lukas Koller
Tobias Ladner
Matthias Althoff
OOD
OffRL
30
0
0
17 Aug 2024
Open- and Closed-Loop Neural Network Verification using Polynomial
  Zonotopes
Open- and Closed-Loop Neural Network Verification using Polynomial Zonotopes
Niklas Kochdumper
Christian Schilling
Matthias Althoff
Stanley Bak
19
32
0
06 Jul 2022
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
222
1,832
0
03 Feb 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
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