An improved real time detection of data poisoning attacks in deep learning vision systems
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2731-0809
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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An improved real time detection of data poisoning attacks in deep learning vision systems ; volume:2 ; number:1 ; day:3 ; month:10 ; year:2022 ; pages:1-17 ; date:12.2022
Discover artificial intelligence ; 2, Heft 1 (3.10.2022), 1-17, 12.2022
- Creator
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Raghavan, Vijay
Mazzuchi, Thomas
Sarkani, Shahram
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s44163-022-00035-3
- URN
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urn:nbn:de:101:1-2022122121084232880438
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:34 AM CEST
Data provider
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Associated
- Raghavan, Vijay
- Mazzuchi, Thomas
- Sarkani, Shahram
- SpringerLink (Online service)
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Lead poisoning
Exploiting weak diffusion of Gimli: improved distinguishers and preimage attacks
SECAP Switch—Defeating Topology Poisoning Attacks Using P4 Data Planes
Improved rectangle attacks on SKINNY and CRAFT
Identifying alternately poisoning attacks in federated learning online using trajectory anomaly detection method
Improved Attacks on LowMC with Algebraic Techniques
Towards minimizing efforts for Morphing Attacks—Deep embeddings for morphing pair selection and improved Morphing Attack Detection
Improved preimage attacks on 4-round keccak-224/256
Guessing less and better: improved attacks on GIFT-64
Improved Preimage Attacks on 3-Round Keccak-224/256
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Lead poisoning