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Hu, I. Habernal, L. Shen, D. Wang, in: Y. Graham, M. Purver (Eds.), Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, Association for Computational Linguistics, 2024, pp. 478–499.","ieee":"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.","chicago":"Hu, Lijie, Ivan Habernal, Lei Shen, and Di 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, edited by Yvette Graham and Matthew Purver, 478–499. Association for Computational Linguistics, 2024.","apa":"Hu, L., Habernal, I., Shen, L., & Wang, D. (2024). Differentially Private Natural Language Models: Recent Advances and Future Directions. In Y. Graham & M. Purver (Eds.), Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024 (pp. 478–499). Association for Computational Linguistics.","ama":"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.","mla":"Hu, Lijie, et al. “Differentially Private Natural Language Models: Recent Advances and Future Directions.” Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, edited by Yvette Graham and Matthew Purver, Association for Computational Linguistics, 2024, pp. 478–499.","bibtex":"@inproceedings{Hu_Habernal_Shen_Wang_2024, title={Differentially Private Natural Language Models: Recent Advances and Future Directions}, booktitle={Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024}, publisher={Association for Computational Linguistics}, author={Hu, Lijie and Habernal, Ivan and Shen, Lei and Wang, Di}, editor={Graham, Yvette and Purver, Matthew}, year={2024}, pages={478–499} }"},"type":"conference","year":"2024","page":"478–499"},{"user_id":"15504","title":"DP-NMT: Scalable Differentially Private Machine Translation","place":"St. Julians, Malta","abstract":[{"text":"Neural machine translation (NMT) is a widely popular text generation task, yet there is a considerable research gap in the development of privacy-preserving NMT models, despite significant data privacy concerns for NMT systems. Differentially private stochastic gradient descent (DP-SGD) is a popular method for training machine learning models with concrete privacy guarantees; however, the implementation specifics of training a model with DP-SGD are not always clarified in existing models, with differing software libraries used and code bases not always being public, leading to reproducibility issues. To tackle this, we introduce DP-NMT, an open-source framework for carrying out research on privacy-preserving NMT with DP-SGD, bringing together numerous models, datasets, and evaluation metrics in one systematic software package. Our goal is to provide a platform for researchers to advance the development of privacy-preserving NMT systems, keeping the specific details of the DP-SGD algorithm transparent and intuitive to implement. We run a set of experiments on datasets from both general and privacy-related domains to demonstrate our framework in use. We make our framework publicly available and welcome feedback from the community.","lang":"eng"}],"status":"public","date_created":"2024-03-25T11:30:44Z","editor":[{"full_name":"Aletras, Nikolaos","first_name":"Nikolaos","last_name":"Aletras"},{"full_name":"De Clercq, Orphee","first_name":"Orphee","last_name":"De Clercq"}],"author":[{"last_name":"Igamberdiev","full_name":"Igamberdiev, Timour","first_name":"Timour"},{"last_name":"Vu","full_name":"Vu, Doan Nam Long","first_name":"Doan Nam Long"},{"last_name":"Kuennecke","first_name":"Felix","full_name":"Kuennecke, Felix"},{"last_name":"Yu","full_name":"Yu, Zhuo","first_name":"Zhuo"},{"last_name":"Holmer","first_name":"Jannik","full_name":"Holmer, Jannik"},{"last_name":"Habernal","id":"101881","first_name":"Ivan","full_name":"Habernal, Ivan"}],"publisher":"Association for Computational Linguistics","department":[{"_id":"820"}],"publication":"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations","date_updated":"2024-03-25T11:31:12Z","_id":"52842","language":[{"iso":"eng"}],"type":"conference","citation":{"mla":"Igamberdiev, Timour, et al. “DP-NMT: Scalable Differentially Private Machine Translation.” Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, edited by Nikolaos Aletras and Orphee De Clercq, Association for Computational Linguistics, 2024, pp. 94–105.","bibtex":"@inproceedings{Igamberdiev_Vu_Kuennecke_Yu_Holmer_Habernal_2024, place={St. Julians, Malta}, title={DP-NMT: Scalable Differentially Private Machine Translation}, booktitle={Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations}, publisher={Association for Computational Linguistics}, author={Igamberdiev, Timour and Vu, Doan Nam Long and Kuennecke, Felix and Yu, Zhuo and Holmer, Jannik and Habernal, Ivan}, editor={Aletras, Nikolaos and De Clercq, Orphee}, year={2024}, pages={94–105} }","chicago":"Igamberdiev, Timour, Doan Nam Long Vu, Felix Kuennecke, Zhuo Yu, Jannik Holmer, and Ivan 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, edited by Nikolaos Aletras and Orphee De Clercq, 94–105. St. Julians, Malta: Association for Computational Linguistics, 2024.","apa":"Igamberdiev, T., Vu, D. N. L., Kuennecke, F., Yu, Z., Holmer, J., & Habernal, I. (2024). DP-NMT: Scalable Differentially Private Machine Translation. In N. Aletras & O. De Clercq (Eds.), Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations (pp. 94–105). Association for Computational Linguistics.","ama":"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.","ieee":"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.","short":"T. Igamberdiev, D.N.L. Vu, F. Kuennecke, Z. Yu, J. Holmer, I. Habernal, in: N. Aletras, O. De Clercq (Eds.), Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, Association for Computational Linguistics, St. Julians, Malta, 2024, pp. 94–105."},"year":"2024","page":"94–105"}]