May 25, 2018 · In this work, we propose a primer of such techniques and a comprehensive categorization of existing approaches for the automated verification of neural ...
Automated Verification of Neural Networks: Advances, Challenges and Perspectives · Francesco Leofante, Nina Narodytska, +1 author. A. Tacchella · Published in ...
In this work, we propose a primer of such techniques and a comprehensive categorization of existing approaches for the automated verification of neural networks ...
Automated Verification of Neural Networks: Advances, Challenges and Perspectives. Leofante, Francesco; Narodytska, Nina; Pulina, Luca; Tacchella, Armando.
The overall idea of the project is to efficiently support the system engineering life-cycle, from requirements to testing and deployment, including software ...
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May 25, 2018 · Automated Verification of Neural Networks: Advances, Challenges and Perspectives ... Challenging SMT solvers to verify neural networks. AI ...
In this paper, we consider the problem of formally verifying the safety of an autonomous robot equipped with a Neural Network (NN) controller that processes ...
This article details a new threat to NN formal verification that is well known in the formal verification of classical systems.
1, 2017. [41] F. Leofante, N. Narodytska, L. Pulina, and A. Tacchella, “Auto- mated verification of neural networks: Advances, challenges and perspectives,” ...
Automated Verification of Neural Networks: Advances, Challenges and Perspectives · Francesco LeofanteNina NarodytskaLuca PulinaA. Tacchella. Computer Science ...