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1st International Symposium on AI Verification 2024: Montreal, QC, Canada

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  - conf/saiv/2024
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Guy Avni, Mirco Giacobbe, Taylor T. Johnson, Guy Katz, Anna Lukina, Nina Narodytska, Christian Schilling:
AI Verification - First International Symposium, SAIV 2024, Montreal, QC, Canada, July 22-23, 2024, Proceedings. Lecture Notes in Computer Science 14846, Springer 2024, ISBN 978-3-031-65111-3
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Ziyan Luo, Xujie Si:
Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning. 1-28
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  - conf/saiv/ZhaoYDB14
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Ningsheng Zhao, Jia Yuan Yu, Krzysztof Dzieciolowski, Trang Bui:
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective. 29-48
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  - conf/saiv/MangalNGHRJP14
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Ravi Mangal, Nina Narodytska, Divya Gopinath, Boyue Caroline Hu, Anirban Roy, Susmit Jha, Corina S. Pasareanu:
Concept-Based Analysis of Neural Networks via Vision-Language Models. 49-77
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  - conf/saiv/HuangYWDWJB14
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Pei Huang, Yuting Yang, Haoze Wu, Ieva Daukantas, Min Wu, Fuqi Jia, Clark W. Barrett:
Parallel Verification for δ-Equivalence of Neural Network Quantization. 78-99
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  - conf/saiv/ArjomandBigdeliMB14
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Ali ArjomandBigdeli, Andrew Mata, Stanley Bak:
Verification of Neural Network Control Systems in Continuous Time. 100-115
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  - conf/saiv/BosmanMHR14
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Annelot W. Bosman, Anna L. Münz, Holger H. Hoos, Jan N. van Rijn:
A Preliminary Study to Examining Per-class Performance Bias via Robustness Distributions. 116-133
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  - conf/saiv/SunSPB14
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Chuyue Sun, Ying Sheng, Oded Padon, Clark W. Barrett:
Clover: Closed-Loop Verifiable Code Generation. 134-155
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  - conf/saiv/NawasTT14
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Stephanie Nawas, Zhe Tao, Aditya V. Thakur:
Provable Repair of Vision Transformers. 156-178
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  - conf/saiv/HanumanthaiahB14
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Karthik Hanumanthaiah, Samik Basu:
Iterative Counter-Example Guided Robustness Verification for Neural Networks. 179-187

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