Matches in SemOpenAlex for { <https://semopenalex.org/work/W2965311219> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2965311219 abstract "Deep neural networks are being applied in many tasks with encouraging results, and have often reached human-level performance. However, deep neural networks are vulnerable to well-designed input samples called adversarial examples. In particular, neural networks tend to misclassify adversarial examples that are imperceptible to humans. This paper introduces a new detection system that automatically detects adversarial examples on deep neural networks. Our proposed system can mostly distinguish adversarial samples and benign images in an end-to-end manner without human intervention. We exploit the important role of the frequency domain in adversarial samples and propose a method that detects malicious samples in observations. When evaluated on two standard benchmark datasets (MNIST and ImageNet), our method achieved an out-detection rate of 99.7 - 100% in many settings." @default.
- W2965311219 created "2019-08-13" @default.
- W2965311219 creator A5008763368 @default.
- W2965311219 creator A5025755721 @default.
- W2965311219 date "2019-08-05" @default.
- W2965311219 modified "2023-10-14" @default.
- W2965311219 title "Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve" @default.
- W2965311219 cites W1883420340 @default.
- W2965311219 cites W2095577883 @default.
- W2965311219 cites W2117539524 @default.
- W2965311219 cites W2183341477 @default.
- W2965311219 cites W2597490979 @default.
- W2965311219 cites W2607219512 @default.
- W2965311219 cites W2744095836 @default.
- W2965311219 cites W2774018344 @default.
- W2965311219 cites W2783555701 @default.
- W2965311219 cites W2919115771 @default.
- W2965311219 cites W2949311987 @default.
- W2965311219 cites W2963207607 @default.
- W2965311219 cites W2963744840 @default.
- W2965311219 cites W2963857521 @default.
- W2965311219 cites W2964082701 @default.
- W2965311219 cites W2964153729 @default.
- W2965311219 cites W2964253222 @default.
- W2965311219 doi "https://doi.org/10.48550/arxiv.1908.01469" @default.
- W2965311219 hasPublicationYear "2019" @default.
- W2965311219 type Work @default.
- W2965311219 sameAs 2965311219 @default.
- W2965311219 citedByCount "0" @default.
- W2965311219 crossrefType "posted-content" @default.
- W2965311219 hasAuthorship W2965311219A5008763368 @default.
- W2965311219 hasAuthorship W2965311219A5025755721 @default.
- W2965311219 hasBestOaLocation W29653112191 @default.
- W2965311219 hasConcept C108583219 @default.
- W2965311219 hasConcept C114614502 @default.
- W2965311219 hasConcept C119857082 @default.
- W2965311219 hasConcept C13280743 @default.
- W2965311219 hasConcept C134306372 @default.
- W2965311219 hasConcept C153180895 @default.
- W2965311219 hasConcept C154945302 @default.
- W2965311219 hasConcept C165696696 @default.
- W2965311219 hasConcept C17732976 @default.
- W2965311219 hasConcept C185798385 @default.
- W2965311219 hasConcept C190502265 @default.
- W2965311219 hasConcept C205649164 @default.
- W2965311219 hasConcept C2984842247 @default.
- W2965311219 hasConcept C33923547 @default.
- W2965311219 hasConcept C36503486 @default.
- W2965311219 hasConcept C37736160 @default.
- W2965311219 hasConcept C38652104 @default.
- W2965311219 hasConcept C41008148 @default.
- W2965311219 hasConcept C50644808 @default.
- W2965311219 hasConceptScore W2965311219C108583219 @default.
- W2965311219 hasConceptScore W2965311219C114614502 @default.
- W2965311219 hasConceptScore W2965311219C119857082 @default.
- W2965311219 hasConceptScore W2965311219C13280743 @default.
- W2965311219 hasConceptScore W2965311219C134306372 @default.
- W2965311219 hasConceptScore W2965311219C153180895 @default.
- W2965311219 hasConceptScore W2965311219C154945302 @default.
- W2965311219 hasConceptScore W2965311219C165696696 @default.
- W2965311219 hasConceptScore W2965311219C17732976 @default.
- W2965311219 hasConceptScore W2965311219C185798385 @default.
- W2965311219 hasConceptScore W2965311219C190502265 @default.
- W2965311219 hasConceptScore W2965311219C205649164 @default.
- W2965311219 hasConceptScore W2965311219C2984842247 @default.
- W2965311219 hasConceptScore W2965311219C33923547 @default.
- W2965311219 hasConceptScore W2965311219C36503486 @default.
- W2965311219 hasConceptScore W2965311219C37736160 @default.
- W2965311219 hasConceptScore W2965311219C38652104 @default.
- W2965311219 hasConceptScore W2965311219C41008148 @default.
- W2965311219 hasConceptScore W2965311219C50644808 @default.
- W2965311219 hasLocation W29653112191 @default.
- W2965311219 hasOpenAccess W2965311219 @default.
- W2965311219 hasPrimaryLocation W29653112191 @default.
- W2965311219 hasRelatedWork W2597787948 @default.
- W2965311219 hasRelatedWork W2965311219 @default.
- W2965311219 hasRelatedWork W3026616975 @default.
- W2965311219 hasRelatedWork W3156786002 @default.
- W2965311219 hasRelatedWork W3208723233 @default.
- W2965311219 hasRelatedWork W4293054861 @default.
- W2965311219 hasRelatedWork W4293350742 @default.
- W2965311219 hasRelatedWork W4297776111 @default.
- W2965311219 hasRelatedWork W4302294897 @default.
- W2965311219 hasRelatedWork W4379255972 @default.
- W2965311219 isParatext "false" @default.
- W2965311219 isRetracted "false" @default.
- W2965311219 magId "2965311219" @default.
- W2965311219 workType "article" @default.