dr. Chris Emmery

Emmery, C. (2023). User-Centered Security in Natural Language Processing. [Doctoral Thesis, Tilburg University]. Ridderprint.

Emmery, C., Kádár, Á., & Chrupała, G. (2021). Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 2388-2402). Association for Computational Linguistics.

Emmery, C., Kádár, A., Chrupała, G., & Daelemans, W. M. P. (2022). Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations. Paper presented at Language Resources and Evaluation Conference, Marseille, France. https://arxiv.org/abs/2201.06384

Emmery, C., Manjavacas, E., & Chrupala, G. (2018). Style Obfuscation by Invariance. In COLING 2018 Association for Computational Linguistics. https://arxiv.org/abs/1805.07143

Emmery, C., Verhoeven, B., De Pauw, G., Jacobs, G., Van Hee, C., Lefever, E., Desmet, B., Hoste, V., & Daelemans, W. (2020). Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity. Language Resources and Evaluation, 55, 597-633.