JP7743921B2 - モデル訓練方法,モデル訓練プログラムおよび情報処理装置 - Google Patents

モデル訓練方法,モデル訓練プログラムおよび情報処理装置

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Publication number
JP7743921B2
JP7743921B2 JP2024511098A JP2024511098A JP7743921B2 JP 7743921 B2 JP7743921 B2 JP 7743921B2 JP 2024511098 A JP2024511098 A JP 2024511098A JP 2024511098 A JP2024511098 A JP 2024511098A JP 7743921 B2 JP7743921 B2 JP 7743921B2
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training
processed data
classification model
confidence
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JPWO2023188354A5 (https=
JPWO2023188354A1 (https=
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裕二 樋口
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Fujitsu Ltd
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Fujitsu Ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/57Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
    • G06F21/577Assessing vulnerabilities and evaluating computer system security
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0475Generative networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
JP2024511098A 2022-03-31 2022-03-31 モデル訓練方法,モデル訓練プログラムおよび情報処理装置 Active JP7743921B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2022/016770 WO2023188354A1 (ja) 2022-03-31 2022-03-31 モデル訓練方法,モデル訓練プログラムおよび情報処理装置

Publications (3)

Publication Number Publication Date
JPWO2023188354A1 JPWO2023188354A1 (https=) 2023-10-05
JPWO2023188354A5 JPWO2023188354A5 (https=) 2024-09-18
JP7743921B2 true JP7743921B2 (ja) 2025-09-25

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JP2024511098A Active JP7743921B2 (ja) 2022-03-31 2022-03-31 モデル訓練方法,モデル訓練プログラムおよび情報処理装置

Country Status (5)

Country Link
US (1) US20250005361A1 (https=)
EP (1) EP4502877A4 (https=)
JP (1) JP7743921B2 (https=)
CN (1) CN118946897A (https=)
WO (1) WO2023188354A1 (https=)

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100750886B1 (ko) 2005-12-09 2007-08-22 한국전자통신연구원 학습 데이터 구축 장치 및 방법
JP6766839B2 (ja) 2018-03-14 2020-10-14 オムロン株式会社 検査システム、画像識別システム、識別システム、識別器生成システム、及び学習データ生成装置
JP7460366B2 (ja) 2019-12-27 2024-04-02 川崎重工業株式会社 訓練データ選別装置、ロボットシステム及び訓練データ選別方法

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini and Nicolas Papernot,Label-Only Membership Inference Attacks,arXiv.org [online],2021年12月05日,[取得日 2025.03.11], 取得先 <https://arxiv.org/pdf/2007.14321.pdf>
Connor Shorten and Taghi M. Khoshgoftaar,A survey on Image Data Augmentation for Deep Learning,Journal of Big Data, volume 6, Article number: 60 [online],2019年07月06日,pp. 1-48,[取得日 2025.03.11], 取得先 <https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-019-0197-0.pdf>,<DOI: https://doi.org/10.1186/s40537-019-0197-0>
先崎 佑弥、 大畑 幸矢、松浦 幹太,深層学習におけるAdversarial Training による副作用とその緩和策,Computer Security Symposium 2017 [online],2017年10月25日,p.385-392,[取得日 2025.03.11], 取得先 <https://ipsj.ixsq.nii.ac.jp/ej/?action=repository_uri&item_id=187230&file_id=1&file_no=1>

Also Published As

Publication number Publication date
CN118946897A (zh) 2024-11-12
US20250005361A1 (en) 2025-01-02
EP4502877A4 (en) 2025-05-21
JPWO2023188354A1 (https=) 2023-10-05
EP4502877A1 (en) 2025-02-05
WO2023188354A1 (ja) 2023-10-05

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