Checking Safety of Neural Networks with SMT Solvers: A Comparative Evaluation

Author:

Pulina Luca,Tacchella Armando

Publisher

Springer Berlin Heidelberg

Reference17 articles.

1. Barrett, C., Sebastiani, R., Seshia, S.A., Tinelli, C.: Satisfiability modulo theories. In: Handbook of Satisfiability, pp. 825–885. IOS Press, Amsterdam (2009)

2. Lecture Notes in Computer Science;P. Fontaine,2006

3. DeLine, R., Leino, K.R.M.: BoogiePL: A typed procedural language for checking object-oriented programs (2005)

4. Ray, S.: Connecting External Deduction Tools with ACL2. In: Scalable Techniques for Formal Verification, pp. 195–216 (2010)

5. Armando, A., Mantovani, J., Platania, L.: Bounded model checking of software using SMT solvers instead of SAT solvers. International Journal on Software Tools for Technology Transfer (STTT) 11(1), 69–83 (2009)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An MILP Encoding for Efficient Verification of Quantized Deep Neural Networks;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2022-11

2. Challenging SMT solvers to verify neural networks;AI Communications;2012

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