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cs.CL2025
Beyond Weaponization: NLP Security for Medium and Lower-Resourced Languages in Their Own Right
Heather Lent
Despite mounting evidence that multilinguality can be easily weaponized against language models (LMs), works across NLP Security remain overwhelmingly English-centric. In terms of…
cs.CL2025
Limited-Resource Adapters Are Regularizers, Not Linguists
Marcell Fekete, Nathaniel R. Robinson, Ernests Lavrinovics +4
Cross-lingual transfer from related high-resource languages is a well-established strategy to enhance low-resource language technologies. Prior work has shown that adapters show pr…
cs.CL2025
NLP Security and Ethics, in the Wild
Heather Lent, Erick Galinkin, Yiyi Chen +3
As NLP models are used by a growing number of end-users, an area of increasing importance is NLP Security (NLPSec): assessing the vulnerability of models to malicious attacks and d…