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Robustness testing of AI systems: A case study for traffic sign
  recognition

Robustness testing of AI systems: A case study for traffic sign recognition

13 August 2021
Christian Berghoff
Pavol Bielik
Matthias Neu
Petar Tsankov
Arndt von Twickel
    AAML
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Papers citing "Robustness testing of AI systems: A case study for traffic sign recognition"

3 / 3 papers shown
Title
Trust in AI: Interpretability is not necessary or sufficient, while
  black-box interaction is necessary and sufficient
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient
Max W. Shen
25
18
0
10 Feb 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
240
1,837
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
1