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CC-Cert: A Probabilistic Approach to Certify General Robustness of
  Neural Networks

CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks

22 September 2021
Mikhail Aleksandrovich Pautov
Nurislam Tursynbek
Marina Munkhoeva
Nikita Muravev
Aleksandr Petiushko
Ivan V. Oseledets
    AAML
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Papers citing "CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks"

3 / 3 papers shown
Title
PRoA: A Probabilistic Robustness Assessment against Functional
  Perturbations
PRoA: A Probabilistic Robustness Assessment against Functional Perturbations
Tianle Zhang
Wenjie Ruan
J. Fieldsend
AAML
13
21
0
05 Jul 2022
Smoothed Embeddings for Certified Few-Shot Learning
Smoothed Embeddings for Certified Few-Shot Learning
Mikhail Aleksandrovich Pautov
Olesya Kuznetsova
Nurislam Tursynbek
Aleksandr Petiushko
Ivan V. Oseledets
27
5
0
02 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
224
1,835
0
03 Feb 2017
1