Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible Triggers

Zheng, Z; Hua, Z; Zhang, Leo

Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible Triggers

https://hdl.handle.net/10779/DRO/DU:30615761

conference contribution

posted on 2025-11-14, 02:27 authored by Z Zheng, Z Hua, Leo ZhangLeo Zhang

Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible Triggers

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DOI - Is version of https://doi.org/10.1007/978-3-031-30111-7_19

Location

Virtual Event

Open access

No

Language

eng

Editor/Contributor(s)

Tanveer M, Agarwal S, Ozawa S, Ekbal A, Jatowt A

Volume

13625

Pagination

216-227

Start date

2022-11-22

End date

2022-11-26

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

978-3-031-30110-0

Title of proceedings

ICONIP 2022 : Proceedings of the 29th International Conference on Neural Information Processing

Event

Neural Information Processing. Conference (2022 : 29th : Virtual Event)

Publisher

Springer

Series

Lecture Notes in Computer Science

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Keywords

AI security Backdoor attack Backdoor detection Computer Science Computer Science, Artificial Intelligence Computer Science, Interdisciplinary Applications Computer Science, Theory & Methods Science & Technology Technology

Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible Triggers

History

Related Materials

Location

Open access

Language

Editor/Contributor(s)

Volume

Pagination

Start date

End date

ISSN

eISSN

ISBN-13

Title of proceedings

Event

Publisher

Series

Usage metrics

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Keywords

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