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Tightened Convex Relaxations for Neural Network Robustness Certification

Tightened Convex Relaxations for Neural Network Robustness Certification

1 April 2020
Brendon G. Anderson
Ziye Ma
Jingqi Li
Somayeh Sojoudi
    AAML
ArXivPDFHTML

Papers citing "Tightened Convex Relaxations for Neural Network Robustness Certification"

11 / 11 papers shown
Title
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Yatong Bai
Brendon G. Anderson
Somayeh Sojoudi
AAML
27
2
0
26 Nov 2023
Tight Certified Robustness via Min-Max Representations of ReLU Neural
  Networks
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks
Brendon G. Anderson
Samuel Pfrommer
Somayeh Sojoudi
OOD
34
1
0
07 Oct 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive
  Smoothing
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing
Yatong Bai
Brendon G. Anderson
Aerin Kim
Somayeh Sojoudi
AAML
36
18
0
29 Jan 2023
ReachLipBnB: A branch-and-bound method for reachability analysis of
  neural autonomous systems using Lipschitz bounds
ReachLipBnB: A branch-and-bound method for reachability analysis of neural autonomous systems using Lipschitz bounds
Taha Entesari
Sina Sharifi
Mahyar Fazlyab
41
6
0
01 Nov 2022
Neural Network Verification in Control
Neural Network Verification in Control
M. Everett
AAML
34
16
0
30 Sep 2021
How to Certify Machine Learning Based Safety-critical Systems? A
  Systematic Literature Review
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
30
66
0
26 Jul 2021
Practical Convex Formulation of Robust One-hidden-layer Neural Network
  Training
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training
Yatong Bai
Tanmay Gautam
Yujie Gai
Somayeh Sojoudi
AAML
21
3
0
25 May 2021
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
Brendon G. Anderson
Ziye Ma
Jingqi Li
Somayeh Sojoudi
58
1
0
22 Jan 2021
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
Algorithms for Verifying Deep Neural Networks
Algorithms for Verifying Deep Neural Networks
Changliu Liu
Tomer Arnon
Christopher Lazarus
Christopher A. Strong
Clark W. Barrett
Mykel J. Kochenderfer
AAML
36
390
0
15 Mar 2019
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
1,837
0
03 Feb 2017
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