Result: XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation

*Title*:

XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation / Markus Bayer, Markus Neiczer, Maximilian Samsinger, Björn Buchhold, Christian Reuter

*Author/editor-in-chief*:

Bayer, Markus (Verfasser) ; Neiczer, Markus (Verfasser); Samsinger, Maximilian (Verfasser); Buchhold, Björn (Verfasser); Reuter, Christian (Verfasser)

*Published in*:

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). - Heft /p17725–17738 (2024)

*Publication*:

ACL, 2024

*Format*:

*eArticle*

*Language*:

*eng*

*Subject Added Keywords*:

*oa_rights*:

Open Access
CC BY 4.0

*Result*: XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation

*Additional information*

*Additional functions*

Result: XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation

Additional information

Additional functions