Survey of artificial intelligence data security and privacy protection
Artificial intelligence and deep learning algorithms are developing rapidly.These emerging techniques have been widely used in audio and video recognition, natural language processing and other fields.However, in recent years, researchers have found that there are many security risks in the current...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2021-02-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021001 |
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| _version_ | 1841529881247088640 |
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| author | Kui REN Quanrun MENG Shoukun YAN Zhan QIN |
| author_facet | Kui REN Quanrun MENG Shoukun YAN Zhan QIN |
| author_sort | Kui REN |
| collection | DOAJ |
| description | Artificial intelligence and deep learning algorithms are developing rapidly.These emerging techniques have been widely used in audio and video recognition, natural language processing and other fields.However, in recent years, researchers have found that there are many security risks in the current mainstream artificial intelligence model, and these problems will limit the development of AI.Therefore, the data security and privacy protection was studied in AI.For data and privacy leakage, the model output based and model update based problem of data leakage were studied.In the model output based problem of data leakage, the principles and research status of model extraction attack, model inversion attack and membership inference attack were discussed.In the model update based problem of data leakage, how attackers steal private data in the process of distributed training was discussed.For data and privacy protection, three kinds of defense methods, namely model structure defense, information confusion defense and query control defense were studied.In summarize, the theoretical foundations, classic algorithms of data inference attack techniques were introduced.A few research efforts on the defense techniques were described in order to provoke further research efforts in this critical area. |
| format | Article |
| id | doaj-art-5a68307d5af54613af229067fecacfd1 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2021-02-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-5a68307d5af54613af229067fecacfd12025-01-15T03:14:39ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2021-02-01711059562503Survey of artificial intelligence data security and privacy protectionKui RENQuanrun MENGShoukun YANZhan QINArtificial intelligence and deep learning algorithms are developing rapidly.These emerging techniques have been widely used in audio and video recognition, natural language processing and other fields.However, in recent years, researchers have found that there are many security risks in the current mainstream artificial intelligence model, and these problems will limit the development of AI.Therefore, the data security and privacy protection was studied in AI.For data and privacy leakage, the model output based and model update based problem of data leakage were studied.In the model output based problem of data leakage, the principles and research status of model extraction attack, model inversion attack and membership inference attack were discussed.In the model update based problem of data leakage, how attackers steal private data in the process of distributed training was discussed.For data and privacy protection, three kinds of defense methods, namely model structure defense, information confusion defense and query control defense were studied.In summarize, the theoretical foundations, classic algorithms of data inference attack techniques were introduced.A few research efforts on the defense techniques were described in order to provoke further research efforts in this critical area.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021001artificial intelligencedata securityprivacy leakageprivacy protection |
| spellingShingle | Kui REN Quanrun MENG Shoukun YAN Zhan QIN Survey of artificial intelligence data security and privacy protection 网络与信息安全学报 artificial intelligence data security privacy leakage privacy protection |
| title | Survey of artificial intelligence data security and privacy protection |
| title_full | Survey of artificial intelligence data security and privacy protection |
| title_fullStr | Survey of artificial intelligence data security and privacy protection |
| title_full_unstemmed | Survey of artificial intelligence data security and privacy protection |
| title_short | Survey of artificial intelligence data security and privacy protection |
| title_sort | survey of artificial intelligence data security and privacy protection |
| topic | artificial intelligence data security privacy leakage privacy protection |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021001 |
| work_keys_str_mv | AT kuiren surveyofartificialintelligencedatasecurityandprivacyprotection AT quanrunmeng surveyofartificialintelligencedatasecurityandprivacyprotection AT shoukunyan surveyofartificialintelligencedatasecurityandprivacyprotection AT zhanqin surveyofartificialintelligencedatasecurityandprivacyprotection |