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Complete Verification via Multi-Neuron Relaxation Guided
  Branch-and-Bound

Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound

30 April 2022
Claudio Ferrari
Mark Niklas Muller
Nikola Jovanović
Martin Vechev
ArXivPDFHTML

Papers citing "Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound"

13 / 63 papers shown
Title
The Third International Verification of Neural Networks Competition
  (VNN-COMP 2022): Summary and Results
The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results
Mark Niklas Muller
Christopher Brix
Stanley Bak
Changliu Liu
Taylor T. Johnson
NAI
35
43
0
20 Dec 2022
Automated Reachability Analysis of Neural Network-Controlled Systems via
  Adaptive Polytopes
Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes
Taha Entesari
Mahyar Fazlyab
40
5
0
14 Dec 2022
VeriX: Towards Verified Explainability of Deep Neural Networks
VeriX: Towards Verified Explainability of Deep Neural Networks
Min Wu
Haoze Wu
Clark W. Barrett
AAML
48
11
0
02 Dec 2022
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
Certified Training: Small Boxes are All You Need
Certified Training: Small Boxes are All You Need
Mark Niklas Muller
Franziska Eckert
Marc Fischer
Martin Vechev
AAML
39
45
0
10 Oct 2022
Sound and Complete Verification of Polynomial Networks
Sound and Complete Verification of Polynomial Networks
Elias Abad Rocamora
Mehmet Fatih Şahin
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
23
5
0
15 Sep 2022
General Cutting Planes for Bound-Propagation-Based Neural Network
  Verification
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
Huan Zhang
Shiqi Wang
Kaidi Xu
Linyi Li
Bo-wen Li
Suman Jana
Cho-Jui Hsieh
J. Zico Kolter
46
95
0
11 Aug 2022
IBP Regularization for Verified Adversarial Robustness via
  Branch-and-Bound
IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound
Alessandro De Palma
Rudy Bunel
Krishnamurthy Dvijotham
M. P. Kumar
Robert Stanforth
AAML
48
17
0
29 Jun 2022
Toward Certified Robustness Against Real-World Distribution Shifts
Toward Certified Robustness Against Real-World Distribution Shifts
Haoze Wu
Teruhiro Tagomori
Alexander Robey
Fengjun Yang
Nikolai Matni
George Pappas
Hamed Hassani
C. Păsăreanu
Clark W. Barrett
AAML
OOD
47
18
0
08 Jun 2022
CAISAR: A platform for Characterizing Artificial Intelligence Safety and
  Robustness
CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness
Julien Girard-Satabin
Michele Alberti
F. Bobot
Zakaria Chihani
Augustin Lemesle
51
10
0
07 Jun 2022
Abstract Interpretation of Fixpoint Iterators with Applications to
  Neural Networks
Abstract Interpretation of Fixpoint Iterators with Applications to Neural Networks
Mark Niklas Muller
Marc Fischer
Robin Staab
Martin Vechev
26
3
0
14 Oct 2021
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
33
128
0
09 Sep 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
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