Neural Networks (NNs) are popular machine learning models which have found successful application in many different domains across computer science. However it is hard to provide any formal guarantee on the behaviour of neural networks and therefore their reliability is still in doubt, especially concerning their deployment in safety and security-critical applications. Verification emerged as a promising solution to address some of these problems. In the following I will present some of my recent efforts in verifying NNs.

Verification and Repair of Neural Networks / Guidotti, D.. - 18:(2021), pp. 15714-15715. (Intervento presentato al convegno 35th AAAI Conference on Artificial Intelligence, AAAI 2021 nel 2021).

Verification and Repair of Neural Networks

Guidotti D.
2021-01-01

Abstract

Neural Networks (NNs) are popular machine learning models which have found successful application in many different domains across computer science. However it is hard to provide any formal guarantee on the behaviour of neural networks and therefore their reliability is still in doubt, especially concerning their deployment in safety and security-critical applications. Verification emerged as a promising solution to address some of these problems. In the following I will present some of my recent efforts in verifying NNs.
2021
Verification and Repair of Neural Networks / Guidotti, D.. - 18:(2021), pp. 15714-15715. (Intervento presentato al convegno 35th AAAI Conference on Artificial Intelligence, AAAI 2021 nel 2021).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/348760
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