Conference Publications

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Jonathan Rusert. 2024. VertAttack: Taking Advantage of Text Classifiers’ Horizontal Vision. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 719–732, Mexico City, Mexico. Association for Computational Linguistics.

 H. V. Khurdula, S. S. Naik and J. Rusert, "Sarcasm Through the Looking Glass: Multi-Domain Analysis for Improved Detection," SoutheastCon 2024, Atlanta, GA, USA, 2024, pp. 650-654, doi: 10.1109/SoutheastCon52093.2024.10500167.  

 Jonathan Rusert and Padmini Srinivasan. 2022. Don’t sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 2716–2725, Seattle, United States. Association for Computational Linguistics.

 Wanyue Zhai, Jonathan Rusert, Zubair Shafiq, and Padmini Srinivasan. 2022. Adversarial Authorship Attribution for Deobfuscation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7372–7384, Dublin, Ireland. Association for Computational Linguistics.

 Jonathan Rusert, Zubair Shafiq, and Padmini Srinivasan. 2022. On the Robustness of Offensive Language Classifiers. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7424–7438, Dublin, Ireland. Association for Computational Linguistics.

 Osama Khalid, Jonathan Rusert, and Padmini Srinivasan. 2022. Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective. In Findings of the Association for Computational Linguistics: ACL 2022, pages 2883–2896, Dublin, Ireland. Association for Computational Linguistics.

Rusert, J., Khalid, O., Hong, D., Shafiq, Z., & Srinivasan, P. (2019). No Place to Hide: Inadvertent Location Privacy Leaks on Twitter. Proceedings on Privacy Enhancing Technologies, 2019, 172 - 189. 

 Rishikesh Fulari and Jonathan Rusert. 2024. Utilizing Machine Learning to Predict Question Difficulty and Response Time for Enhanced Test Construction. In Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024), pages 528–533, Mexico City, Mexico. Association for Computational Linguistics 

 Rusert, J. NLP_UIOWA at Semeval-2021 Task 5: Transferring Toxic Sets to Tag Toxic Spans
In Proceedings of the 15th International Workshop on Semantic Evaluation (pp. 881-887) 

 Shrestha, I. & Rusert, J. NLP UIOWA at SemEval-2020 Task 8: You're not the only one cursed with
knowledge - Multi branch model memotion analysis
In Proceedings of the 14th International Workshop on Semantic Evaluation (pp. 891-900). 

 Rusert, J. & Srinivasan, P. NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass
using Multi-windowed CNNs. In Proceedings of the 13th International Workshop on
Semantic Evaluation (pp. 704-711). 

Rusert, J. & Pedersen, T. Umnduluth at semeval-2016 task 14: Wordnet's missing lemmas.
In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
(pp.1346-1350). 

 Language Evolves, so should WordNet: Automatically Extending WordNet with the Sense of Out of Vocabulary Lemmas  

 THE DARK SIDE OF TEXT CLASSIFICATION: ADDRESSING THE
NEGATIVE ASPECTS PLAGUING TEXT CLASSIFIERS