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Improving the Tightness of Convex Relaxation Bounds for Training
  Certifiably Robust Classifiers

Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers

22 February 2020
Chen Zhu
Renkun Ni
Ping Yeh-Chiang
Hengduo Li
Furong Huang
Tom Goldstein
ArXivPDFHTML

Papers citing "Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers"

2 / 2 papers shown
Title
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron
  Relaxations for Neural Network Verification
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
Christian Tjandraatmadja
Ross Anderson
Joey Huchette
Will Ma
Krunal Patel
J. Vielma
AAML
27
89
0
24 Jun 2020
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