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Matches in SemOpenAlex for { <https://semopenalex.org/work/W2931831036> ?p ?o ?g. }

• W2931831036 abstract "We present a training system, which can provably defend significantly larger neural networks than previously possible, including ResNet-34 and DenseNet-100. Our approach is based on differentiable abstract interpretation and introduces two novel concepts: (i) abstract layers for fine-tuning the precision and scalability of the abstraction, (ii) a flexible domain specific language (DSL) for describing training objectives that combine abstract and concrete losses with arbitrary specifications. Our training method is implemented in the DiffAI system." @default.
• W2931831036 created "2019-04-11" @default.
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• W2931831036 date "2019-03-29" @default.
• W2931831036 modified "2023-09-23" @default.
• W2931831036 title "A Provable Defense for Deep Residual Networks." @default.
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• W2931831036 hasPublicationYear "2019" @default.
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