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Tight Certification of Adversarially Trained Neural Networks via
  Nonconvex Low-Rank Semidefinite Relaxations

Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations

30 November 2022
Hong-Ming Chiu
Richard Y. Zhang
    AAML
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Papers citing "Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations"

3 / 3 papers shown
Title
Improved Global Guarantees for the Nonconvex Burer--Monteiro
  Factorization via Rank Overparameterization
Improved Global Guarantees for the Nonconvex Burer--Monteiro Factorization via Rank Overparameterization
Richard Y. Zhang
30
24
0
05 Jul 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
249
1,838
0
03 Feb 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
1