JP2023551976A5 - - Google Patents
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- Publication number
- JP2023551976A5 JP2023551976A5 JP2023534141A JP2023534141A JP2023551976A5 JP 2023551976 A5 JP2023551976 A5 JP 2023551976A5 JP 2023534141 A JP2023534141 A JP 2023534141A JP 2023534141 A JP2023534141 A JP 2023534141A JP 2023551976 A5 JP2023551976 A5 JP 2023551976A5
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- Japan
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- machine learning
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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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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US17/114,819 US12050993B2 (en) | 2020-12-08 | 2020-12-08 | Dynamic gradient deception against adversarial examples in machine learning models |
| US17/114,819 | 2020-12-08 | ||
| PCT/IB2021/060808 WO2022123372A1 (en) | 2020-12-08 | 2021-11-22 | Dynamic gradient deception against adversarial examples in machine learning models |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2023551976A JP2023551976A (ja) | 2023-12-13 |
| JP2023551976A5 true JP2023551976A5 (https=) | 2023-12-21 |
| JP7754599B2 JP7754599B2 (ja) | 2025-10-15 |
Family
ID=81849070
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2023534141A Active JP7754599B2 (ja) | 2020-12-08 | 2021-11-22 | 機械学習モデルにおける敵対的サンプルに対する動的勾配策略 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US12050993B2 (https=) |
| JP (1) | JP7754599B2 (https=) |
| CN (1) | CN116670693A (https=) |
| DE (1) | DE112021005847T5 (https=) |
| GB (1) | GB2617735A (https=) |
| WO (1) | WO2022123372A1 (https=) |
Families Citing this family (16)
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| US12493666B2 (en) * | 2021-01-14 | 2025-12-09 | Origin Research Wireless, Inc. | Wireless sensing using classifier probing and refinement |
| US20220405531A1 (en) * | 2021-06-15 | 2022-12-22 | Etsy, Inc. | Blackbox optimization via model ensembling |
| US20230071450A1 (en) * | 2021-09-09 | 2023-03-09 | Siemens Aktiengesellschaft | System and method for controlling large scale power distribution systems using reinforcement learning |
| CN115278757B (zh) * | 2022-07-25 | 2025-05-20 | 绿盟科技集团股份有限公司 | 一种检测异常数据的方法、装置及电子设备 |
| CN114998707B (zh) * | 2022-08-05 | 2022-11-04 | 深圳中集智能科技有限公司 | 评估目标检测模型鲁棒性的攻击方法和装置 |
| US11947902B1 (en) * | 2023-03-03 | 2024-04-02 | Microsoft Technology Licensing, Llc | Efficient multi-turn generative AI model suggested message generation |
| US11962546B1 (en) | 2023-03-03 | 2024-04-16 | Microsoft Technology Licensing, Llc | Leveraging inferred context to improve suggested messages |
| US12282731B2 (en) | 2023-03-03 | 2025-04-22 | Microsoft Technology Licensing, Llc | Guardrails for efficient processing and error prevention in generating suggested messages |
| US20240378726A1 (en) * | 2023-05-12 | 2024-11-14 | GE Precision Healthcare LLC | Deep learning based medical imaging system and method |
| US12580929B2 (en) * | 2023-07-25 | 2026-03-17 | Crowdstrike, Inc. | Techniques for assessing malware classification |
| CN116680727B (zh) * | 2023-08-01 | 2023-11-03 | 北京航空航天大学 | 一种面向图像分类模型的功能窃取防御方法 |
| US12587564B2 (en) * | 2023-08-15 | 2026-03-24 | Cisco Technology, Inc. | Adversarial training of language models to prevent hijacking of conversational agents |
| US20250217255A1 (en) * | 2024-01-03 | 2025-07-03 | Samsung Electronics Co., Ltd. | Method and apparatus with ai model performance measuring using perturbation |
| CN118747837B (zh) * | 2024-08-12 | 2024-11-15 | 北京小蝇科技有限责任公司 | 基于机器学习的样本数据处理方法和装置 |
| CN119150031B (zh) * | 2024-11-13 | 2025-10-10 | 阿里云飞天(杭州)云计算技术有限公司 | 模型训练方法和数据处理方法 |
| CN119202258B (zh) * | 2024-11-25 | 2025-02-28 | 西安融军通用标准化研究院有限责任公司 | 一种基于机器学习的标准文本分类方法 |
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| US5359699A (en) | 1991-12-02 | 1994-10-25 | General Electric Company | Method for using a feed forward neural network to perform classification with highly biased data |
| US5371809A (en) | 1992-03-30 | 1994-12-06 | Desieno; Duane D. | Neural network for improved classification of patterns which adds a best performing trial branch node to the network |
| US7409372B2 (en) | 2003-06-20 | 2008-08-05 | Hewlett-Packard Development Company, L.P. | Neural network trained with spatial errors |
| US8275803B2 (en) | 2008-05-14 | 2012-09-25 | International Business Machines Corporation | System and method for providing answers to questions |
| US8280838B2 (en) | 2009-09-17 | 2012-10-02 | International Business Machines Corporation | Evidence evaluation system and method based on question answering |
| US20110125734A1 (en) | 2009-11-23 | 2011-05-26 | International Business Machines Corporation | Questions and answers generation |
| WO2012047557A1 (en) | 2010-09-28 | 2012-04-12 | International Business Machines Corporation | Evidence diffusion among candidate answers during question answering |
| US8738617B2 (en) | 2010-09-28 | 2014-05-27 | International Business Machines Corporation | Providing answers to questions using multiple models to score candidate answers |
| US8601030B2 (en) | 2011-09-09 | 2013-12-03 | International Business Machines Corporation | Method for a natural language question-answering system to complement decision-support in a real-time command center |
| US9390370B2 (en) | 2012-08-28 | 2016-07-12 | International Business Machines Corporation | Training deep neural network acoustic models using distributed hessian-free optimization |
| US20150170027A1 (en) | 2013-12-13 | 2015-06-18 | Qualcomm Incorporated | Neuronal diversity in spiking neural networks and pattern classification |
| US10621487B2 (en) | 2014-09-17 | 2020-04-14 | Hewlett Packard Enterprise Development Lp | Neural network verification |
| US9786270B2 (en) | 2015-07-09 | 2017-10-10 | Google Inc. | Generating acoustic models |
| US10044751B2 (en) | 2015-12-28 | 2018-08-07 | Arbor Networks, Inc. | Using recurrent neural networks to defeat DNS denial of service attacks |
| CN105718945B (zh) | 2016-01-20 | 2020-07-31 | 江苏大学 | 基于分水岭和神经网络的苹果采摘机器人夜间图像识别方法 |
| US9948666B2 (en) | 2016-02-09 | 2018-04-17 | International Business Machines Corporation | Forecasting and classifying cyber-attacks using analytical data based neural embeddings |
| CN106127729A (zh) | 2016-06-08 | 2016-11-16 | 浙江传媒学院 | 一种基于梯度的图像噪声水平估计方法 |
| CN106296692A (zh) | 2016-08-11 | 2017-01-04 | 深圳市未来媒体技术研究院 | 基于对抗网络的图像显著性检测方法 |
| US10915817B2 (en) | 2017-01-23 | 2021-02-09 | Fotonation Limited | Method of training a neural network |
| CN106845471A (zh) | 2017-02-20 | 2017-06-13 | 深圳市唯特视科技有限公司 | 一种基于生成对抗网络的视觉显著性预测方法 |
| EP3602316A4 (en) | 2017-03-24 | 2020-12-30 | D5A1 Llc | LEARNING COACH FOR AUTOMATIC LEARNING SYSTEM |
| CN107025284B (zh) | 2017-04-06 | 2020-10-27 | 中南大学 | 网络评论文本情感倾向的识别方法及卷积神经网络模型 |
| CN107147603B (zh) | 2017-05-05 | 2019-10-08 | 西安电子科技大学 | 基于多神经网络的dbpsk解调方法 |
| CN107240085A (zh) | 2017-05-08 | 2017-10-10 | 广州智慧城市发展研究院 | 一种基于卷积神经网络模型的图像融合方法及系统 |
| WO2018231708A2 (en) | 2017-06-12 | 2018-12-20 | D5Ai Llc | Robust anti-adversarial machine learning |
| US11023593B2 (en) | 2017-09-25 | 2021-06-01 | International Business Machines Corporation | Protecting cognitive systems from model stealing attacks |
| US10642846B2 (en) | 2017-10-13 | 2020-05-05 | Microsoft Technology Licensing, Llc | Using a generative adversarial network for query-keyword matching |
| US10657259B2 (en) | 2017-11-01 | 2020-05-19 | International Business Machines Corporation | Protecting cognitive systems from gradient based attacks through the use of deceiving gradients |
| EP3770777A4 (en) | 2018-03-20 | 2021-05-05 | Sony Corporation | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD |
| US10733292B2 (en) | 2018-07-10 | 2020-08-04 | International Business Machines Corporation | Defending against model inversion attacks on neural networks |
| US11227215B2 (en) | 2019-03-08 | 2022-01-18 | International Business Machines Corporation | Quantifying vulnerabilities of deep learning computing systems to adversarial perturbations |
| US11017319B1 (en) * | 2020-06-23 | 2021-05-25 | Deeping Source Inc. | Method for training obfuscation network which conceals original data to be used for machine learning and training surrogate network which uses obfuscated data generated by obfuscation network and method for testing trained obfuscation network and learning device and testing device using the same |
-
2020
- 2020-12-08 US US17/114,819 patent/US12050993B2/en active Active
-
2021
- 2021-11-22 GB GB2310212.2A patent/GB2617735A/en active Pending
- 2021-11-22 JP JP2023534141A patent/JP7754599B2/ja active Active
- 2021-11-22 DE DE112021005847.9T patent/DE112021005847T5/de active Pending
- 2021-11-22 CN CN202180082952.0A patent/CN116670693A/zh active Pending
- 2021-11-22 WO PCT/IB2021/060808 patent/WO2022123372A1/en not_active Ceased
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