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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"
4 / 4 papers shown
Title
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
Mikhail Aleksandrovich Pautov
Olesya Kuznetsova
Nurislam Tursynbek
Aleksandr Petiushko
Ivan V. Oseledets
36
5
0
02 Feb 2022
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
27
128
0
09 Sep 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
231
1,837
0
03 Feb 2017
1