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A Robust Optimisation Perspective on Counterexample-Guided Repair of
  Neural Networks

A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks

26 January 2023
David Boetius
Stefan Leue
Tobias Sutter
ArXivPDFHTML

Papers citing "A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks"

4 / 4 papers shown
Title
AI-Powered Urban Transportation Digital Twin: Methods and Applications
AI-Powered Urban Transportation Digital Twin: Methods and Applications
Xuan Di
Yongjie Fu
Mehmet K.Turkcan
Mahshid Ghasemi
Zhaobin Mo
Chengbo Zang
Abhishek Adhikari
Z. Kostić
Gil Zussman
AI4CE
31
0
0
30 Dec 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
23
0
0
24 May 2024
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
284
5,835
0
08 Jul 2016
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