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Info
- 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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- JP
- Japan
- Prior art keywords
- data
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- processed data
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/57—Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
- G06F21/577—Assessing vulnerabilities and evaluating computer system security
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0475—Generative networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Landscapes
- 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)
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 |
Family
ID=88200375
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| 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)
| 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 |
-
2022
- 2022-03-31 EP EP22935494.9A patent/EP4502877A4/en active Pending
- 2022-03-31 WO PCT/JP2022/016770 patent/WO2023188354A1/ja not_active Ceased
- 2022-03-31 CN CN202280094107.XA patent/CN118946897A/zh active Pending
- 2022-03-31 JP JP2024511098A patent/JP7743921B2/ja active Active
-
2024
- 2024-09-16 US US18/886,539 patent/US20250005361A1/en active Pending
Non-Patent Citations (3)
| 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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