Profil

DYRMISHI Salijona

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal

Main Referenced Co-authors
CORDY, Maxime  (3)
GHAMIZI, Salah  (3)
LE TRAON, Yves  (2)
SIMONETTO, Thibault Jean Angel  (2)
Main Referenced Keywords
Computer Vision: Adversarial learning, adversarial attack and defense methods (1); Constraint Satisfaction and Optimization: Constraint Optimization (1); Constraint Satisfaction and Optimization: Constraint Satisfaction (1); Constraint Satisfaction and Optimization: Constraints and Machine Learning (1); Search: Evolutionary Computation (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other (2)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) (1)
ULHPC - University of Luxembourg: High Performance Computing (1)
Main Referenced Disciplines
Computer science (3)

Publications (total 3)

The most downloaded
37 downloads
Simonetto, T. J. A., Dyrmishi, S., Ghamizi, S., Cordy, M., & Le Traon, Y. (2022). A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22 (pp. 1313-1319). International Joint Conferences on Artificial Intelligence Organization. doi:10.24963/ijcai.2022/183 https://hdl.handle.net/10993/53045

Dyrmishi, S., Ghamizi, S., Simonetto, T. J. A., Le Traon, Y., & Cordy, M. (2023). On the empirical effectiveness of unrealistic adversarial hardening against realistic adversarial attacks. In Conference Proceedings 2023 IEEE Symposium on Security and Privacy (SP) (pp. 1384-1400). IEEE. doi:10.1109/SP46215.2023.00049
Peer reviewed

Dyrmishi, S., Ghamizi, S., & Cordy, M. (2023). How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics.
Peer reviewed

Simonetto, T. J. A., Dyrmishi, S., Ghamizi, S., Cordy, M., & Le Traon, Y. (2022). A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22 (pp. 1313-1319). International Joint Conferences on Artificial Intelligence Organization. doi:10.24963/ijcai.2022/183
Peer reviewed

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