2025

A Certified Proof Checker for Deep Neural Network Verification In Imandra

R. Desmartin*, O. Isac*, E. Komendantskaya, G. Passmore, K. Stark, G. Katz (* equal contribution)

Proc. 16th Int. Conf. on Interactive Theorem Proving (ITP), September 2025

A Certified Proof Checker for Deep Neural Network Verification In Imandra
A Certified Proof Checker for Deep Neural Network Verification In Imandra

R. Desmartin*, O. Isac*, E. Komendantskaya, G. Passmore, K. Stark, G. Katz (* equal contribution)

Proc. 16th Int. Conf. on Interactive Theorem Proving (ITP), September 2025

Abstraction-Based Proof Production in Formal Verification of Neural Networks

Y. Elboher, O. Isac, G. Katz, T. Ladner, H. Wu

Proc. 8th Int. Symposium on AI Verification (SAIV), July 2025

Abstraction-Based Proof Production in Formal Verification of Neural Networks
Abstraction-Based Proof Production in Formal Verification of Neural Networks

Y. Elboher, O. Isac, G. Katz, T. Ladner, H. Wu

Proc. 8th Int. Symposium on AI Verification (SAIV), July 2025

Proof-Driven Clause Learning in Neural Network Verification

O. Isac*, I. Refaeli*, H. Wu, C. Barrett, G. Katz (* equal contribution)

2025

Proof-Driven Clause Learning in Neural Network Verification
Proof-Driven Clause Learning in Neural Network Verification

O. Isac*, I. Refaeli*, H. Wu, C. Barrett, G. Katz (* equal contribution)

2025

Neural Network Verification is a Programming Language Challenge

L. Cordeiro, M. Daggitt, J. Girard-Satabin, O. Isac, T. Johnson, G. Katz, E. Komendantskaya, A. Lemesle, E. Manino, A. Šinkarovs, H. Wu

Proc. 34th European Symposium on Programming (ESOP), May 2025

Neural Network Verification is a Programming Language Challenge
Neural Network Verification is a Programming Language Challenge

L. Cordeiro, M. Daggitt, J. Girard-Satabin, O. Isac, T. Johnson, G. Katz, E. Komendantskaya, A. Lemesle, E. Manino, A. Šinkarovs, H. Wu

Proc. 34th European Symposium on Programming (ESOP), May 2025

NLP Verification: Towards a General Methodology for Certifying Robustness

M. Casadio, T. Dinkar, E. Komendantskaya, L. Arnaboldi, O. Isac, M. L. Daggitt, G. Katz, V. Rieser, O. Lemon

European Journal of Applied Mathematics, 2025

NLP Verification: Towards a General Methodology for Certifying Robustness
NLP Verification: Towards a General Methodology for Certifying Robustness

M. Casadio, T. Dinkar, E. Komendantskaya, L. Arnaboldi, O. Isac, M. L. Daggitt, G. Katz, V. Rieser, O. Lemon

European Journal of Applied Mathematics, 2025

2024

Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing

Y. Elboher*, R. Elsaleh*, O. Isac*, M. Ducoffe, A. Galametz, G. Povéda, R. Boumazouza, N. Cohen, G. Katz (* equal contribution)

Best of Session Award, Proc. 43rd Digital Avionics Systems Conf. (DASC), September 2024

Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing
Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing

Y. Elboher*, R. Elsaleh*, O. Isac*, M. Ducoffe, A. Galametz, G. Povéda, R. Boumazouza, N. Cohen, G. Katz (* equal contribution)

Best of Session Award, Proc. 43rd Digital Avionics Systems Conf. (DASC), September 2024

Marabou 2.0: A Versatile Formal Analyzer of Neural Networks

H. Wu, O. Isac, A. Zeljić, T. Tagomori, M. Daggitt, W. Kokke, I. Refaeli, G. Amir, K. Julian, S. Bassan, P. Huang, O. Lahav, M. Wu, M. Zhang, E. Komendantskaya, G. Katz, C. Barrett

Proc. 36th Int. Conf. on Computer Aided Verification (CAV), July 2024

Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks

H. Wu, O. Isac, A. Zeljić, T. Tagomori, M. Daggitt, W. Kokke, I. Refaeli, G. Amir, K. Julian, S. Bassan, P. Huang, O. Lahav, M. Wu, M. Zhang, E. Komendantskaya, G. Katz, C. Barrett

Proc. 36th Int. Conf. on Computer Aided Verification (CAV), July 2024

2023

Towards a Certified Proof Checker for Deep Neural Network Verification

R. Desmartin*, O. Isac*, G. Passmore, K. Stark, E. Komendantskaya, G. Katz (* equal contribution)

Best Short-Paper Award, Proc. 33rd Int. Symposium on Logic-based Program Synthesis and Transformation (LOPSTR), October 2023

Towards a Certified Proof Checker for Deep Neural Network Verification
Towards a Certified Proof Checker for Deep Neural Network Verification

R. Desmartin*, O. Isac*, G. Passmore, K. Stark, E. Komendantskaya, G. Katz (* equal contribution)

Best Short-Paper Award, Proc. 33rd Int. Symposium on Logic-based Program Synthesis and Transformation (LOPSTR), October 2023

DNN Verification, Reachability, and the Exponential Function Problem

O. Isac, Y. Zohar, C. Barrett, G. Katz

Proc. 34th Int. Conf. on Concurrency Theory (CONCUR), September 2023

DNN Verification, Reachability, and the Exponential Function Problem
DNN Verification, Reachability, and the Exponential Function Problem

O. Isac, Y. Zohar, C. Barrett, G. Katz

Proc. 34th Int. Conf. on Concurrency Theory (CONCUR), September 2023

ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification

M. Casadio, L. Arnaboldi, M. L. Daggitt, O. Isac, T. Dinkar, D. Kienitz, V. Rieser, E. Komendantskaya

Proc. 6th Workshop on Formal Methods for ML-Enabled Autonomous Systems (FoMLAS), July 2023

ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification
ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification

M. Casadio, L. Arnaboldi, M. L. Daggitt, O. Isac, T. Dinkar, D. Kienitz, V. Rieser, E. Komendantskaya

Proc. 6th Workshop on Formal Methods for ML-Enabled Autonomous Systems (FoMLAS), July 2023

2022

Neural Network Verification with Proof Production

O. Isac, C. Barrett, M. Zhang, G. Katz

Proc. 22nd Int. Conf. on Formal Methods in Computer-Aided Design (FMCAD), October 2022

Neural Network Verification with Proof Production
Neural Network Verification with Proof Production

O. Isac, C. Barrett, M. Zhang, G. Katz

Proc. 22nd Int. Conf. on Formal Methods in Computer-Aided Design (FMCAD), October 2022