L. Hu, I. Habernal, L. Shen, and D. Wang, “Differentially Private Natural Language Models: Recent Advances and Future Directions,” in Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, 2024, pp. 478–499.
LibreCat: /record/52827

T. Igamberdiev, D. N. L. Vu, F. Kuennecke, Z. Yu, J. Holmer, and I. Habernal, “DP-NMT: Scalable Differentially Private Machine Translation,” in Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2024, pp. 94–105.
LibreCat: /record/52842

M. Büttner and I. Habernal, “Answering legal questions from laymen in German civil law system,” in Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 2024, pp. 2015–2027.
LibreCat: /record/52841

I. Habernal, F. Mireshghallah, P. Thaine, S. Ghanavati, and O. Feyisetan, “Privacy-Preserving Natural Language Processing,”10.18653/v1/2023.eacl-tutorials.6__2023, doi:10.18653/v1/2023.eacl-tutorials.6 .
LibreCat: /record/48289
DOI: 10.18653/v1/2023.eacl-tutorials.6

C. Matzken, S. Eger, and I. Habernal, “Trade-Offs Between Fairness and Privacy in Language Modeling,”10.18653/v1/2023.findings-acl.434__2023, doi:10.18653/v1/2023.findings-acl.434 .
LibreCat: /record/48288
DOI: 10.18653/v1/2023.findings-acl.434

N. Mouhammad, J. Daxenberger, B. Schiller, and I. Habernal, “Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting,”10.18653/v1/2023.law-1.8__2023, doi:10.18653/v1/2023.law-1.8 .
LibreCat: /record/48291
DOI: 10.18653/v1/2023.law-1.8

Y. Yin and I. Habernal, “Privacy-Preserving Models for Legal Natural Language Processing,”10.18653/v1/2022.nllp-1.14__2023, doi:10.18653/v1/2022.nllp-1.14 .
LibreCat: /record/48296
DOI: 10.18653/v1/2022.nllp-1.14

R. Sawhney, A. Neerkaje, I. Habernal, and L. Flek, “How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications,”10.1609/icwsm.v17i1.22186__Proceedings of the International AAAI Conference on Web and Social Media, vol. 17, pp. 766–776, 2023, doi:10.1609/icwsm.v17i1.22186 .
LibreCat: /record/48294
DOI: 10.1609/icwsm.v17i1.22186

M. Senge, T. Igamberdiev, and I. Habernal, “One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks,”10.18653/v1/2022.emnlp-main.496__2023, doi:10.18653/v1/2022.emnlp-main.496 .
LibreCat: /record/48297
DOI: 10.18653/v1/2022.emnlp-main.496

T. Igamberdiev and I. Habernal, “DP-BART for Privatized Text Rewriting under Local Differential Privacy,”10.18653/v1/2023.findings-acl.874__2023, doi:10.18653/v1/2023.findings-acl.874 .
LibreCat: /record/48292
DOI: 10.18653/v1/2023.findings-acl.874

L. Bongard, L. Held, and I. Habernal, “The Legal Argument Reasoning Task in Civil Procedure,”10.18653/v1/2022.nllp-1.17__2023, doi:10.18653/v1/2022.nllp-1.17 .
LibreCat: /record/48295
DOI: 10.18653/v1/2022.nllp-1.17

I. Habernal et al., “Mining legal arguments in court decisions,”10.1007/s10506-023-09361-y__Artificial Intelligence and Law, 2023, doi:10.1007/s10506-023-09361-y .
LibreCat: /record/48290
DOI: 10.1007/s10506-023-09361-y

T. Igamberdiev, D. N. L. Vu, F. Künnecke, Z. Yu, J. Holmer, and I. Habernal, “DP-NMT: Scalable Differentially-Private Machine Translation.” 2023.
LibreCat: /record/49649

L. Held and I. Habernal, “LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights.” 2023.
LibreCat: /record/49650

T. Igamberdiev and I. Habernal, “Privacy-Preserving Graph Convolutional Networks for Text Classification,” in Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022, pp. 338–350.
LibreCat: /record/48299

T. Igamberdiev, T. Arnold, and I. Habernal, “DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting,” in Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 2927–2933.
LibreCat: /record/48300

I. Habernal, “How reparametrization trick broke differentially-private text representation learning,”10.18653/v1/2022.acl-short.87__2022, doi:10.18653/v1/2022.acl-short.87 .
LibreCat: /record/48298
DOI: 10.18653/v1/2022.acl-short.87

I. Habernal, “When differential privacy meets NLP: The devil is in the detail,”10.18653/v1/2021.emnlp-main.114__2021, doi:10.18653/v1/2021.emnlp-main.114 .
LibreCat: /record/48286
DOI: 10.18653/v1/2021.emnlp-main.114

M. Glockner, I. Habernal, and I. Gurevych, “Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision,”10.18653/v1/2020.findings-emnlp.97__2020, doi:10.18653/v1/2020.findings-emnlp.97 .
LibreCat: /record/48301
DOI: 10.18653/v1/2020.findings-emnlp.97

I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “The Argument Reasoning Comprehension Task: Identification and            Reconstruction of Implicit Warrants,”10.18653/v1/n18-1175__2018, doi:10.18653/v1/n18-1175 .
LibreCat: /record/48303
DOI: 10.18653/v1/n18-1175