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FullCert: Deterministic End-to-End Certification for Training and
  Inference of Neural Networks

FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks

17 June 2024
Tobias Lorenz
Marta Kwiatkowska
Mario Fritz
    AAML
ArXivPDFHTML

Papers citing "FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks"

2 / 2 papers shown
Title
CNN-Cert: An Efficient Framework for Certifying Robustness of
  Convolutional Neural Networks
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
Akhilan Boopathy
Tsui-Wei Weng
Pin-Yu Chen
Sijia Liu
Luca Daniel
AAML
108
138
0
29 Nov 2018
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
1