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. (35th AAAI Conference on Artificial Intelligence, AAAI 2021 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
Inglese
35th AAAI Conference on Artificial Intelligence, AAAI 2021
35th AAAI Conference on Artificial Intelligence, AAAI 2021
18
15714
15715
2
Association for the Advancement of Artificial Intelligence
2021
No
Verification and Repair of Neural Networks / Guidotti, D.. - 18:(2021), pp. 15714-15715. (35th AAAI Conference on Artificial Intelligence, AAAI 2021 2021).
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Guidotti, D.
273
1
none
info:eu-repo/semantics/conferenceObject
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/348760
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? ND
social impact