View in EDS HTML Full Text PDF Full Text

Quantum adversarial machine learning: from classical adaptations to quantum-native methods.

Saved in:
Bibliographic Details
Title: Quantum adversarial machine learning: from classical adaptations to quantum-native methods.
Authors: Razavi-Far, Roozbeh1, roozbeh.razavi-far@unb.ca, Meymani, Mohammad1, Mahmoudinia, Erfan2, Vazirzade, Dorsa3, Paknezhad, Peyman4, Ghasemi, Fateme5, Saravani, Saeed5, Nikkhoo, Somayeh6, Haghjooei, Kimia7
Source: Artificial Intelligence Review; Aug2026, Vol. 59 Issue 8, p1-54, 54p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195707488
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantum adversarial machine learning: from classical adaptations to quantum-native methods.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Razavi-Far%2C+Roozbeh%22">Razavi-Far, Roozbeh</searchLink><relatesTo>1</relatesTo>, <i>roozbeh.razavi-far@unb.ca</i><br /><searchLink fieldCode="AU" term="%22Meymani%2C+Mohammad%22">Meymani, Mohammad</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Mahmoudinia%2C+Erfan%22">Mahmoudinia, Erfan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Vazirzade%2C+Dorsa%22">Vazirzade, Dorsa</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Paknezhad%2C+Peyman%22">Paknezhad, Peyman</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Ghasemi%2C+Fateme%22">Ghasemi, Fateme</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AU" term="%22Saravani%2C+Saeed%22">Saravani, Saeed</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AU" term="%22Nikkhoo%2C+Somayeh%22">Nikkhoo, Somayeh</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AU" term="%22Haghjooei%2C+Kimia%22">Haghjooei, Kimia</searchLink><relatesTo>7</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Aug2026, Vol. 59 Issue 8, p1-54, 54p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195707488
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10462-026-11578-7
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 54
        StartPage: 1
    Titles:
      – TitleFull: Quantum adversarial machine learning: from classical adaptations to quantum-native methods.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Razavi-Far, Roozbeh
      – PersonEntity:
          Name:
            NameFull: Meymani, Mohammad
      – PersonEntity:
          Name:
            NameFull: Mahmoudinia, Erfan
      – PersonEntity:
          Name:
            NameFull: Vazirzade, Dorsa
      – PersonEntity:
          Name:
            NameFull: Paknezhad, Peyman
      – PersonEntity:
          Name:
            NameFull: Ghasemi, Fateme
      – PersonEntity:
          Name:
            NameFull: Saravani, Saeed
      – PersonEntity:
          Name:
            NameFull: Nikkhoo, Somayeh
      – PersonEntity:
          Name:
            NameFull: Haghjooei, Kimia
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 02692821
          Numbering:
            – Type: volume
              Value: 59
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: Artificial Intelligence Review
              Type: main
ResultId 1