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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
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
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 VerificationNeural Information Processing Systems (NeurIPS), 2020
Christian Tjandraatmadja
Ross Anderson
Joey Huchette
Will Ma
Krunal Patel
J. Vielma
AAML
261
98
0
24 Jun 2020
Automatic Perturbation Analysis for Scalable Certified Robustness and
  Beyond
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
Kaidi Xu
Zhouxing Shi
Huan Zhang
Yihan Wang
Kai-Wei Chang
Shiyu Huang
B. Kailkhura
Xinyu Lin
Cho-Jui Hsieh
AAML
364
15
0
28 Feb 2020
1
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