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

Igamberdiev T, Vu DNL, Kuennecke F, Yu Z, Holmer J, Habernal I. DP-NMT: Scalable Differentially Private Machine Translation. In: Aletras N, De Clercq O, eds. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics; 2024:94–105.
LibreCat: /record/52842

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

Habernal I, Mireshghallah F, Thaine P, Ghanavati S, Feyisetan O. Privacy-Preserving Natural Language Processing. In: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts. Association for Computational Linguistics; 2023. doi:10.18653/v1/2023.eacl-tutorials.6
LibreCat: /record/48289
DOI: 10.18653/v1/2023.eacl-tutorials.6

Matzken C, Eger S, Habernal I. Trade-Offs Between Fairness and Privacy in Language Modeling. In: Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics; 2023. doi:10.18653/v1/2023.findings-acl.434
LibreCat: /record/48288
DOI: 10.18653/v1/2023.findings-acl.434

Mouhammad N, Daxenberger J, Schiller B, Habernal I. Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting. In: Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII). Association for Computational Linguistics; 2023. doi:10.18653/v1/2023.law-1.8
LibreCat: /record/48291
DOI: 10.18653/v1/2023.law-1.8

Yin Y, Habernal I. Privacy-Preserving Models for Legal Natural Language Processing. In: Proceedings of the Natural Legal Language Processing Workshop 2022. Association for Computational Linguistics; 2023. doi:10.18653/v1/2022.nllp-1.14
LibreCat: /record/48296
DOI: 10.18653/v1/2022.nllp-1.14

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

Senge M, Igamberdiev T, Habernal I. One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics; 2023. doi:10.18653/v1/2022.emnlp-main.496
LibreCat: /record/48297
DOI: 10.18653/v1/2022.emnlp-main.496

Igamberdiev T, Habernal I. DP-BART for Privatized Text Rewriting under Local Differential Privacy. In: Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics; 2023. doi:10.18653/v1/2023.findings-acl.874
LibreCat: /record/48292
DOI: 10.18653/v1/2023.findings-acl.874

Bongard L, Held L, Habernal I. The Legal Argument Reasoning Task in Civil Procedure. In: Proceedings of the Natural Legal Language Processing Workshop 2022. Association for Computational Linguistics; 2023. doi:10.18653/v1/2022.nllp-1.17
LibreCat: /record/48295
DOI: 10.18653/v1/2022.nllp-1.17

Habernal I, Faber D, Recchia N, et al. Mining legal arguments in court decisions. Artificial Intelligence and Law. Published online 2023. doi:10.1007/s10506-023-09361-y
LibreCat: /record/48290
DOI: 10.1007/s10506-023-09361-y

Igamberdiev T, Vu DNL, Künnecke F, Yu Z, Holmer J, Habernal I. DP-NMT: Scalable Differentially-Private Machine Translation. Published online 2023.
LibreCat: /record/49649

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

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

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

Habernal I. How reparametrization trick broke differentially-private text representation learning. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics; 2022. doi:10.18653/v1/2022.acl-short.87
LibreCat: /record/48298
DOI: 10.18653/v1/2022.acl-short.87

Habernal I. When differential privacy meets NLP: The devil is in the detail. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics; 2021. doi:10.18653/v1/2021.emnlp-main.114
LibreCat: /record/48286
DOI: 10.18653/v1/2021.emnlp-main.114

Glockner M, Habernal I, Gurevych I. Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. In: Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics; 2020. doi:10.18653/v1/2020.findings-emnlp.97
LibreCat: /record/48301
DOI: 10.18653/v1/2020.findings-emnlp.97

Habernal I, Wachsmuth H, Gurevych I, Stein B. The Argument Reasoning Comprehension Task: Identification and            Reconstruction of Implicit Warrants. In: Proceedings of the 2018 Conference of the North American Chapter of          the Association for Computational Linguistics: Human Language          Technologies, Volume 1 (Long Papers). Association for Computational Linguistics; 2018. doi:10.18653/v1/n18-1175
LibreCat: /record/48303
DOI: 10.18653/v1/n18-1175