What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples

Shakila Mahjabin Tonni, Mark Dras


Anthology ID:
2023.findings-ijcnlp.35
Volume:
Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
Month:
November
Year:
2023
Address:
Nusa Dua, Bali
Editors:
Jong C. Park, Yuki Arase, Baotian Hu, Wei Lu, Derry Wijaya, Ayu Purwarianti, Adila Alfa Krisnadhi
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
392–411
Language:
URL:
https://aclanthology.org/2023.findings-ijcnlp.35
DOI:
10.18653/v1/2023.findings-ijcnlp.35
Bibkey:
Cite (ACL):
Shakila Mahjabin Tonni and Mark Dras. 2023. What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples. In Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings), pages 392–411, Nusa Dua, Bali. Association for Computational Linguistics.
Cite (Informal):
What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples (Tonni & Dras, Findings 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/2023.findings-ijcnlp.35.pdf