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The Fifth International Verification of Neural Networks Competition (VNN-COMP 2024): Summary and Results

The Fifth International Verification of Neural Networks Competition (VNN-COMP 2024): Summary and Results

31 December 2024
Christopher Brix
Stanley Bak
Taylor T. Johnson
Haoze Wu
    NAI
ArXiv (abs)PDFHTML

Papers citing "The Fifth International Verification of Neural Networks Competition (VNN-COMP 2024): Summary and Results"

8 / 8 papers shown
Title
Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification
Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification
Ryota Ueda
Takami Sato
Ken Kobayashi
Kazuhide Nakata
AAML
93
0
0
12 Jun 2025
The CAISAR Platform: Extending the Reach of Machine Learning Specification and Verification
The CAISAR Platform: Extending the Reach of Machine Learning Specification and Verification
Michele Alberti
F. Bobot
Julien Girard-Satabin
Alban Grastien
Aymeric Varasse
Zakaria Chihani
7
0
0
10 Jun 2025
SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
Hong-Ming Chiu
Hao Chen
Huan Zhang
Richard Y. Zhang
15
0
0
07 Jun 2025
Out of the Shadows: Exploring a Latent Space for Neural Network Verification
Out of the Shadows: Exploring a Latent Space for Neural Network Verification
Lukas Koller
Tobias Ladner
Matthias Althoff
52
0
0
23 May 2025
NoPE: The Counting Power of Transformers with No Positional Encodings
NoPE: The Counting Power of Transformers with No Positional Encodings
Chris Köcher
Alexander Kozachinskiy
Anthony Widjaja Lin
Marco Sälzer
Georg Zetzsche
109
0
0
16 May 2025
Proof-Driven Clause Learning in Neural Network Verification
Proof-Driven Clause Learning in Neural Network Verification
Omri Isac
Idan Refaeli
Haoze Wu
Clark W. Barrett
Guy Katz
164
0
0
15 Mar 2025
Probabilistic Verification of Neural Networks using Branch and Bound
Probabilistic Verification of Neural Networks using Branch and Bound
David Boetius
Stefan Leue
Tobias Sutter
134
2
0
27 May 2024
Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs
Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs
M. Daggitt
Wen Kokke
R. Atkey
Natalia Slusarz
Luca Arnaboldi
Ekaterina Komendantskaya
NAI
88
11
0
12 Jan 2024
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