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Debona: Decoupled Boundary Network Analysis for Tighter Bounds and
  Faster Adversarial Robustness Proofs

Debona: Decoupled Boundary Network Analysis for Tighter Bounds and Faster Adversarial Robustness Proofs

16 June 2020
Christopher Brix
T. Noll
    AAML
ArXivPDFHTML

Papers citing "Debona: Decoupled Boundary Network Analysis for Tighter Bounds and Faster Adversarial Robustness Proofs"

5 / 5 papers shown
Title
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Tobias Ladner
Michael Eichelbeck
Matthias Althoff
GNN
61
0
0
23 Apr 2024
First Three Years of the International Verification of Neural Networks
  Competition (VNN-COMP)
First Three Years of the International Verification of Neural Networks Competition (VNN-COMP)
Christopher Brix
Mark Niklas Muller
Stanley Bak
Taylor T. Johnson
Changliu Liu
NAI
30
66
0
14 Jan 2023
The Second International Verification of Neural Networks Competition
  (VNN-COMP 2021): Summary and Results
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results
Stanley Bak
Changliu Liu
Taylor T. Johnson
NAI
17
112
0
31 Aug 2021
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
228
1,835
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
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