Investigating universal adversarial attacks against transformers-based automatic essay scoring systems (2025)
- Authors:
- USP affiliated authors: MAUÁ, DENIS DERATANI - IME ; COSTA, DANIEL SILVA LOPES DA - IME ; SILVEIRA, IGOR CATANEO - IME ; BARBOSA, ANDRÉ - IME
- Unidade: IME
- DOI: 10.1007/978-3-031-79032-4_12
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; REDAÇÃO
- Keywords: Automatic essay scoring; Adversarial attack; Natural language processing; Pontuação automática de redações
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Springer Nature
- Publisher place: Cham
- Date published: 2025
- Source:
- Título: Lecture Notes in Computer Science.
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 15412, p.169-183, 2025
- Conference titles: Brazilian Conference - BRACIS 2024
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SILVEIRA, Igor Cataneo et al. Investigating universal adversarial attacks against transformers-based automatic essay scoring systems. Lecture Notes in Computer Science. Cham: Springer Nature. Disponível em: https://doi.org/10.1007/978-3-031-79032-4_12. Acesso em: 26 dez. 2025. , 2025 -
APA
Silveira, I. C., Barbosa, A., Costa, D. S. L. da, & Mauá, D. D. (2025). Investigating universal adversarial attacks against transformers-based automatic essay scoring systems. Lecture Notes in Computer Science.. Cham: Springer Nature. doi:10.1007/978-3-031-79032-4_12 -
NLM
Silveira IC, Barbosa A, Costa DSL da, Mauá DD. Investigating universal adversarial attacks against transformers-based automatic essay scoring systems [Internet]. Lecture Notes in Computer Science. 2025 ; 15412 169-183.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_12 -
Vancouver
Silveira IC, Barbosa A, Costa DSL da, Mauá DD. Investigating universal adversarial attacks against transformers-based automatic essay scoring systems [Internet]. Lecture Notes in Computer Science. 2025 ; 15412 169-183.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1007/978-3-031-79032-4_12 - An empirical analysis of large language models for automated cross-prompt essay trait scoring in Brazilian Portuguese
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Informações sobre o DOI: 10.1007/978-3-031-79032-4_12 (Fonte: oaDOI API)
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