Article (Scientific journals)
NegBLEURT Forest: Leveraging Inconsistencies for Detecting Jailbreak Attacks
SLEEM, Lama; FRANCOIS, Jérôme; LI, Lujun et al.
2026In CCNC, p. 1-7
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
SLEEM, Lama  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN
FRANCOIS, Jérôme  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN
LI, Lujun  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN
Foucher, Nathan;  Institut National Polytechnique de Toulouse,Toulouse,France
GENTILE, Niccolo ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences > Department of Behavioural and Cognitive Sciences > Team Conchita D AMBROSIO ; Foyer S.A.,Leudelange,Luxembourg
STATE, Radu  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN
External co-authors :
yes
Language :
English
Title :
NegBLEURT Forest: Leveraging Inconsistencies for Detecting Jailbreak Attacks
Publication date :
09 January 2026
Journal title :
CCNC
Pages :
1-7
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 05 April 2026

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