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Conference and Workshop Papers
- 2024
[c5]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt
, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CAV (2) 2024: 249-264- 2023
- [c4]Marco Casadio, Luca Arnaboldi, Matthew L. Daggitt, Omri Isac, Tanvi Dinkar, Daniel Kienitz, Verena Rieser, Ekaterina Komendantskaya:
ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification. FoMLAS@CAV 2023: 59-70 - [c3]Omri Isac, Yoni Zohar, Clark W. Barrett, Guy Katz:
DNN Verification, Reachability, and the Exponential Function Problem. CONCUR 2023: 26:1-26:18 - [c2]Remi Desmartin, Omri Isac, Grant O. Passmore, Kathrin Stark, Ekaterina Komendantskaya, Guy Katz:
Towards a Certified Proof Checker for Deep Neural Network Verification. LOPSTR 2023: 198-209 - 2022
- [c1]Omri Isac, Clark W. Barrett, Min Zhang, Guy Katz:
Neural Network Verification with Proof Production. FMCAD 2022: 38-48
Editorship
- 2023
- [e2]Nina Narodytska, Guy Amir, Guy Katz, Omri Isac:
Proceedings of the 6th Workshop on Formal Methods for ML-Enabled Autonomous Systems, FoMLAS@CAV 2023, Paris, France, July 17-18, 2023. Kalpa Publications in Computing 16, EasyChair 2023 [contents] - 2022
- [e1]Omri Isac, Radoslav Ivanov, Guy Katz, Nina Narodytska, Laura Nenzi:
Software Verification and Formal Methods for ML-Enabled Autonomous Systems - 5th International Workshop, FoMLAS 2022, and 15th International Workshop, NSV 2022, Haifa, Israel, July 31 - August 1, and August 11, 2022, Proceedings. Lecture Notes in Computer Science 13466, Springer 2022, ISBN 978-3-031-21221-5 [contents]
Informal and Other Publications
- 2024
- [i8]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CoRR abs/2401.14461 (2024) - [i7]Yizhak Yisrael Elboher, Raya Elsaleh, Omri Isac, Mélanie Ducoffe, Audrey Galametz, Guillaume Povéda, Ryma Boumazouza, Noémie Cohen, Guy Katz:
Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing. CoRR abs/2402.00035 (2024) - [i6]Marco Casadio, Tanvi Dinkar, Ekaterina Komendantskaya, Luca Arnaboldi, Omri Isac, Matthew L. Daggitt, Guy Katz, Verena Rieser, Oliver Lemon:
NLP Verification: Towards a General Methodology for Certifying Robustness. CoRR abs/2403.10144 (2024) - [i5]Remi Desmartin, Omri Isac, Ekaterina Komendantskaya, Kathrin Stark, Grant O. Passmore, Guy Katz:
A Certified Proof Checker for Deep Neural Network Verification. CoRR abs/2405.10611 (2024) - 2023
- [i4]Marco Casadio, Luca Arnaboldi, Matthew L. Daggitt, Omri Isac, Tanvi Dinkar, Daniel Kienitz, Verena Rieser, Ekaterina Komendantskaya:
ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification. CoRR abs/2305.04003 (2023) - [i3]Omri Isac, Yoni Zohar, Clark W. Barrett, Guy Katz:
DNN Verification, Reachability, and the Exponential Function Problem. CoRR abs/2305.06064 (2023) - [i2]Remi Desmartin, Omri Isac, Grant O. Passmore, Kathrin Stark, Guy Katz, Ekaterina Komendantskaya:
Towards a Certified Proof Checker for Deep Neural Network Verification. CoRR abs/2307.06299 (2023) - 2022
- [i1]Omri Isac, Clark W. Barrett, Min Zhang, Guy Katz:
Neural Network Verification with Proof Production. CoRR abs/2206.00512 (2022)
Coauthor Index
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