Toward Scalable Verification for Safety-Critical Deep Networks
dc.contributor.author | Kuper, Lindsey | |
dc.contributor.author | Gottschlich, Justin E | |
dc.contributor.author | Gottschlich, Justin E | |
dc.contributor.author | Julian, Kyle | |
dc.contributor.author | Barrett, Clark | |
dc.contributor.author | Kochenderfer, Mykel J | |
dc.date | 2023-05-18T00:14:45.000 | |
dc.date.accessioned | 2023-05-22T13:06:45Z | |
dc.date.available | 2023-05-22T13:06:45Z | |
dc.date.issued | 2018-01-01 | |
dc.date.submitted | 2020-12-18T14:10:05-08:00 | |
dc.description.abstract | The increasing use of deep neural networks for safety-critical applications, such as autonomous driving and flight control, raises concerns about their safety and reliability. Formal verification can address these concerns by guaranteeing that a deep learning system operates as intended, but the state of the art is limited to small systems. In this work-in-progress report we give an overview of our work on mitigating this difficulty, by pursuing two complementary directions: devising scalable verification techniques, and identifying design choices that result in deep learning systems that are more amenable to verification. | |
dc.identifier.uri | https://repository.upenn.edu/handle/20.500.14332/8486 | |
dc.legacy.articleid | 1010 | |
dc.legacy.fulltexturl | https://repository.upenn.edu/cgi/viewcontent.cgi?article=1010&context=cps_machine_programming&unstamped=1 | |
dc.source.issue | 11 | |
dc.source.journal | Machine Programming | |
dc.source.status | published | |
dc.title | Toward Scalable Verification for Safety-Critical Deep Networks | |
dc.type | Presentation | |
digcom.contributor.author | Kuper, Lindsey | |
digcom.contributor.author | Katz, Guy | |
digcom.contributor.author | isAuthorOfPublication|email:gojustin@cis.upenn.edu|institution:Intel|Gottschlich, Justin E | |
digcom.contributor.author | Julian, Kyle | |
digcom.contributor.author | Barrett, Clark | |
digcom.contributor.author | Kochenderfer, Mykel J | |
digcom.identifier | cps_machine_programming/11 | |
digcom.identifier.contextkey | 20689406 | |
digcom.identifier.submissionpath | cps_machine_programming/11 | |
digcom.type | conference | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 5cbcf403-a558-4c1c-aa8a-d700e3d50679 | |
relation.isAuthorOfPublication | 5cbcf403-a558-4c1c-aa8a-d700e3d50679 | |
relation.isAuthorOfPublication.latestForDiscovery | 5cbcf403-a558-4c1c-aa8a-d700e3d50679 | |
upenn.schoolDepartmentCenter | Machine Programming |
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