Conference item
Safety and robustness for deep learning with provable guarantees (invited paper - keynote)
- Publication status:
- Published
- Peer review status:
- Reviewed (other)
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, 122.3KB, Terms of use)
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- Publisher copy:
- 10.1145/3324884.3418901
Authors
- Publisher:
- ACM Digital Library
- Journal:
- Proceedings of the 35th ACE 2020 Conference More from this journal
- Pages:
- 1-3
- Publication date:
- 2020-12-27
- Acceptance date:
- 2020-09-04
- Event title:
- 35th IEEE/ACM International Conference on Automated Software Engineering
- Event location:
- Melbourne, Australia
- Event website:
- https://conf.researchr.org/home/ase-2020
- Event start date:
- 2020-09-21
- Event end date:
- 2020-09-25
- DOI:
- ISBN:
- 978-1-4503-6768-4
- Language:
-
English
- Keywords:
- Pubs id:
-
1130291
- Local pid:
-
pubs:1130291
- Deposit date:
-
2020-09-04
Terms of use
- Copyright holder:
- Association for Computing Machinery
- Copyright date:
- 2020
- Rights statement:
- © 2020 Association for Computing Machinery
- Notes:
- This paper was presented at the 35th ASE Conference 2020, 21st - 25th September 2020, Melbourne, Australia. This is the accepted manuscript version of the article. The final version is available from ACM Digital Library at: https://doi.org/10.1145/3324884.3418901
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