A Hypothetical Defenses-Based Training Framework for Generating Transferable Adversarial Examples Article Swipe
Lingguang Hao
,
Kuangrong Hao
,
Yaochu Jin
,
Hongzhi Zhao
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.4826655
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.4826655
Related Topics
Concepts
Metadata
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- Language
- en
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- https://doi.org/10.2139/ssrn.4826655
- OA Status
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- References
- 71
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4396850944Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2139/ssrn.4826655Digital Object Identifier
- Title
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A Hypothetical Defenses-Based Training Framework for Generating Transferable Adversarial ExamplesWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Lingguang Hao, Kuangrong Hao, Yaochu Jin, Hongzhi ZhaoList of authors in order
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https://doi.org/10.2139/ssrn.4826655Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://doi.org/10.2139/ssrn.4826655Direct OA link when available
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Adversarial system, Training (meteorology), Computer science, Artificial intelligence, Geography, MeteorologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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