Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples.
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| Title: | Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples. |
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| Authors: | Zhao, Zhe1, zhaozhe1@shanghaitech.edu.cn, Chen, Guangke1, chengk@shanghaitech.edu.cn, Liu, Tong1, liutong@shanghaitech.edu.cn, Li, Taishan1, litsh@shanghaitech.edu.cn, Song, Fu2, songfu@ios.ac.cn, Wang, Jingyi3, wangjyee@shanghaitech.edu.cn, Sun, Jun4, junsun@shanghaitech.edu.cn |
| Source: | ACM Transactions on Software Engineering & Methodology; Mar2024, Vol. 33 Issue 3, p1-45, 45p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 176329738 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhao%2C+Zhe%22">Zhao, Zhe</searchLink><relatesTo>1</relatesTo>, <i>zhaozhe1@shanghaitech.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Chen%2C+Guangke%22">Chen, Guangke</searchLink><relatesTo>1</relatesTo>, <i>chengk@shanghaitech.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Tong%22">Liu, Tong</searchLink><relatesTo>1</relatesTo>, <i>liutong@shanghaitech.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Taishan%22">Li, Taishan</searchLink><relatesTo>1</relatesTo>, <i>litsh@shanghaitech.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Song%2C+Fu%22">Song, Fu</searchLink><relatesTo>2</relatesTo>, <i>songfu@ios.ac.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Jingyi%22">Wang, Jingyi</searchLink><relatesTo>3</relatesTo>, <i>wangjyee@shanghaitech.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Sun%2C+Jun%22">Sun, Jun</searchLink><relatesTo>4</relatesTo>, <i>junsun@shanghaitech.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22ACM+Transactions+on+Software+Engineering+%26+Methodology%22">ACM Transactions on Software Engineering & Methodology</searchLink>; Mar2024, Vol. 33 Issue 3, p1-45, 45p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176329738 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3631977 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 45 StartPage: 1 Titles: – TitleFull: Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhao, Zhe – PersonEntity: Name: NameFull: Chen, Guangke – PersonEntity: Name: NameFull: Liu, Tong – PersonEntity: Name: NameFull: Li, Taishan – PersonEntity: Name: NameFull: Song, Fu – PersonEntity: Name: NameFull: Wang, Jingyi – PersonEntity: Name: NameFull: Sun, Jun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 1049331X Numbering: – Type: volume Value: 33 – Type: issue Value: 3 Titles: – TitleFull: ACM Transactions on Software Engineering & Methodology Type: main |
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