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SpecRepair: Counter-Example Guided Safety Repair of Deep Neural Networks

SpecRepair: Counter-Example Guided Safety Repair of Deep Neural Networks

3 June 2021
Fabian Bauer-Marquart
David Boetius
Stefan Leue
Christian Schilling
    AAML
ArXivPDFHTML

Papers citing "SpecRepair: Counter-Example Guided Safety Repair of Deep Neural Networks"

5 / 5 papers shown
Title
Probabilistic Verification of Neural Networks using Branch and Bound
Probabilistic Verification of Neural Networks using Branch and Bound
David Boetius
Stefan Leue
Tobias Sutter
45
1
0
27 May 2024
Counterexample-Guided Repair of Reinforcement Learning Systems Using
  Safety Critics
Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Critics
David Boetius
Stefan Leue
28
0
0
24 May 2024
A Robust Optimisation Perspective on Counterexample-Guided Repair of
  Neural Networks
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
David Boetius
Stefan Leue
Tobias Sutter
38
4
0
26 Jan 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
932
0
21 Oct 2016
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