Neural Network Verification is a Programming Language Challenge
Fuente:
arXiv
Saved in:
| Main Authors: | Cordeiro, Lucas C., Daggitt, Matthew L., Girard-Satabin, Julien, Isac, Omri, Johnson, Taylor T., Katz, Guy, Komendantskaya, Ekaterina, Lemesle, Augustin, Manino, Edoardo, Šinkarovs, Artjoms, Wu, Haoze |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards a Certified Proof Checker for Deep Neural Network Verification
by: Desmartin, Remi, et al.
Published: (2023)
by: Desmartin, Remi, et al.
Published: (2023)
A Certified Proof Checker for Deep Neural Network Verification in Imandra
by: Desmartin, Remi, et al.
Published: (2024)
by: Desmartin, Remi, et al.
Published: (2024)
NLP Verification: Towards a General Methodology for Certifying Robustness
by: Casadio, Marco, et al.
Published: (2024)
by: Casadio, Marco, et al.
Published: (2024)
Proof Minimization in Neural Network Verification
by: Isac, Omri, et al.
Published: (2025)
by: Isac, Omri, et al.
Published: (2025)
PICID: Proof-Driven Clause Learning in Neural Network Verification
by: Isac, Omri, et al.
Published: (2025)
by: Isac, Omri, et al.
Published: (2025)
When Agda met Vampire
by: Šinkarovs, Artjoms, et al.
Published: (2026)
by: Šinkarovs, Artjoms, et al.
Published: (2026)
Abstraction-Based Proof Production in Formal Verification of Neural Networks
by: Elboher, Yizhak Yisrael, et al.
Published: (2025)
by: Elboher, Yizhak Yisrael, et al.
Published: (2025)
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
by: Wu, Haoze, et al.
Published: (2024)
by: Wu, Haoze, et al.
Published: (2024)
Incremental Neural Network Verification via Learned Conflicts
by: Elsaleh, Raya, et al.
Published: (2026)
by: Elsaleh, Raya, et al.
Published: (2026)
Quantitative Linear Logic for Neuro-Symbolic Learning and Verification
by: Flinkow, Thomas, et al.
Published: (2026)
by: Flinkow, Thomas, et al.
Published: (2026)
Proof-Carrying Neuro-Symbolic Code
by: Komendantskaya, Ekaterina
Published: (2025)
by: Komendantskaya, Ekaterina
Published: (2025)
Learning to Split: A Reinforcement-Learning-Guided Splitting Heuristic for Neural Network Verification
by: Swisa, Maya, et al.
Published: (2025)
by: Swisa, Maya, et al.
Published: (2025)
On Improving Deep Active Learning with Formal Verification
by: Spiegelman, Jonathan, et al.
Published: (2025)
by: Spiegelman, Jonathan, et al.
Published: (2025)
Neural Network Verification using Partial Multi-Neuron Relaxation
by: Shmuel, Ido, et al.
Published: (2026)
by: Shmuel, Ido, et al.
Published: (2026)
Quantitative Linear Logic
by: Capucci, Matteo, et al.
Published: (2026)
by: Capucci, Matteo, et al.
Published: (2026)
A Foundation for Differentiable Logics using Dependent Type Theory
by: Affeldt, Reynald, et al.
Published: (2026)
by: Affeldt, Reynald, et al.
Published: (2026)
A General Framework for Property-Driven Machine Learning
by: Flinkow, Thomas, et al.
Published: (2025)
by: Flinkow, Thomas, et al.
Published: (2025)
Formal Abductive Latent Explanations for Prototype-Based Networks
by: Soria, Jules, et al.
Published: (2025)
by: Soria, Jules, et al.
Published: (2025)
Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs
by: Daggitt, Matthew L., et al.
Published: (2024)
by: Daggitt, Matthew L., et al.
Published: (2024)
Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing
by: Elboher, Yizhak, et al.
Published: (2024)
by: Elboher, Yizhak, et al.
Published: (2024)
Automated Repair of AI Code with Large Language Models and Formal Verification
by: Charalambous, Yiannis, et al.
Published: (2024)
by: Charalambous, Yiannis, et al.
Published: (2024)
Lemur: Integrating Large Language Models in Automated Program Verification
by: Wu, Haoze, et al.
Published: (2023)
by: Wu, Haoze, et al.
Published: (2023)
ESBMC: A Survey of Its Evolution, Integration, and Future Directions in Formal Software Verification
by: Dantas, Pierre, et al.
Published: (2026)
by: Dantas, Pierre, et al.
Published: (2026)
Taming Differentiable Logics with Coq Formalisation
by: Affeldt, Reynald, et al.
Published: (2024)
by: Affeldt, Reynald, et al.
Published: (2024)
Neural Network Verification with PyRAT
by: Lemesle, Augustin, et al.
Published: (2024)
by: Lemesle, Augustin, et al.
Published: (2024)
Formal Verification of Quantum Programs: Theory, Tools and Challenges
by: Lewis, Marco, et al.
Published: (2021)
by: Lewis, Marco, et al.
Published: (2021)
Compiling High-Level Neural Network Specifications into VNN-LIB Queries
by: Daggitt, Matthew L., et al.
Published: (2024)
by: Daggitt, Matthew L., et al.
Published: (2024)
Craig Interpolation in Program Verification
by: Rümmer, Philipp
Published: (2026)
by: Rümmer, Philipp
Published: (2026)
Correctness is Demanding, Performance is Frustrating
by: Sinkarovs, Artjoms, et al.
Published: (2024)
by: Sinkarovs, Artjoms, et al.
Published: (2024)
Local vs. Global Interpretability: A Computational Complexity Perspective
by: Bassan, Shahaf, et al.
Published: (2024)
by: Bassan, Shahaf, et al.
Published: (2024)
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation
by: Amir, Guy, et al.
Published: (2024)
by: Amir, Guy, et al.
Published: (2024)
A Program Instrumentation Framework for Automatic Verification
by: Amilon, Jesper, et al.
Published: (2024)
by: Amilon, Jesper, et al.
Published: (2024)
Formal Mechanistic Interpretability: Automated Circuit Discovery with Provable Guarantees
by: Hadad, Itamar, et al.
Published: (2026)
by: Hadad, Itamar, et al.
Published: (2026)
Practical Deductive Verification of OCaml Programs (Extended Version)
by: Pereira, Mário
Published: (2024)
by: Pereira, Mário
Published: (2024)
Verifying the Generalization of Deep Learning to Out-of-Distribution Domains
by: Amir, Guy, et al.
Published: (2024)
by: Amir, Guy, et al.
Published: (2024)
ESBMC v7.6: Enhanced Model Checking of C++ Programs with Clang AST
by: Li, Xianzhiyu, et al.
Published: (2024)
by: Li, Xianzhiyu, et al.
Published: (2024)
What makes an Ensemble (Un) Interpretable?
by: Bassan, Shahaf, et al.
Published: (2025)
by: Bassan, Shahaf, et al.
Published: (2025)
Cubing for Tuning
by: Wu, Haoze, et al.
Published: (2025)
by: Wu, Haoze, et al.
Published: (2025)
Memoryless concretization relation
by: Calbert, Julien, et al.
Published: (2024)
by: Calbert, Julien, et al.
Published: (2024)
VerifyThis 2019: A Program Verification Competition (Extended Report)
by: Dross, Claire, et al.
Published: (2020)
by: Dross, Claire, et al.
Published: (2020)
Similar Items
-
Towards a Certified Proof Checker for Deep Neural Network Verification
by: Desmartin, Remi, et al.
Published: (2023) -
A Certified Proof Checker for Deep Neural Network Verification in Imandra
by: Desmartin, Remi, et al.
Published: (2024) -
NLP Verification: Towards a General Methodology for Certifying Robustness
by: Casadio, Marco, et al.
Published: (2024) -
Proof Minimization in Neural Network Verification
by: Isac, Omri, et al.
Published: (2025) -
PICID: Proof-Driven Clause Learning in Neural Network Verification
by: Isac, Omri, et al.
Published: (2025)