| Privacy-Preserving Graph Convolutional Networks for Text Classification T Igamberdiev, I Habernal Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | 35 | 2022 |
| DP-BART for Privatized Text Rewriting under Local Differential Privacy T Igamberdiev, I Habernal Findings of the Association for Computational Linguistics: ACL 2023, 13914 …, 2023 | 22 | 2023 |
| One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks M Senge, T Igamberdiev, I Habernal Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 14 | 2022 |
| DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting T Igamberdiev, T Arnold, I Habernal Proceedings of the 29th International Conference on Computational …, 2022 | 11 | 2022 |
| Metaphor identification with paragraph and word vectorization: An attention-based neural approach T Igamberdiev, H Shin Proceedings of the 32nd Pacific Asia Conference on Language, Information and …, 2018 | 3 | 2018 |
| DP-NMT: Scalable Differentially-Private Machine Translation T Igamberdiev, DNL Vu, F Künnecke, Z Yu, J Holmer, I Habernal Proceedings of the 18th Conference of the European Chapter of the …, 2024 | 1 | 2024 |
| Proceedings of the Fifth Workshop on Privacy in Natural Language Processing I Habernal, S Ghanavati, A Ravichander, V Jain, P Thaine, T Igamberdiev, ... Proceedings of the Fifth Workshop on Privacy in Natural Language Processing, 2024 | | 2024 |
| Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation DNL Vu, T Igamberdiev, I Habernal arXiv preprint arXiv:2407.18789, 2024 | | 2024 |
| Differentially private methods in natural language processing T Igamberdiev Technische Universität Darmstadt, 2023 | | 2023 |
