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Mansikkamäki, 2022 - Google Patents

ROBUST DECISION TREES UNDER ADVERSARIAL ATTACKS

Mansikkamäki, 2022

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Document ID
13189835258757780997
Author
Mansikkamäki O
Publication year
Publication venue
Electrical Engineering

External Links

Snippet

Normal decision trees are effective but simple machine learning models that are prone to adversarial attacks. Nevertheless, the operation of decision trees under adversarial attacks has received relatively little research, and robust decision tree algorithms that can withstand …
Continue reading at trepo.tuni.fi (PDF) (other versions)

Classifications

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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6279Classification techniques relating to the number of classes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/6228Selecting the most significant subset of features
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    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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