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Privacy-Preserving Graph Convolutional Networks for Text Classification

International Conference on Language Resources and Evaluation (LREC), 2021

10 February 2021

Papers citing "Privacy-Preserving Graph Convolutional Networks for Text Classification"

20 / 20 papers shown

Title
Text Classification using Graph Convolutional Networks: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2024 Syed Mustafa Haider Rizvi Ramsha Imran Arif Mahmood GNN OOD FaML 134 7 0 12 Oct 2024
GraphPub: Generation of Differential Privacy Graph with High Availability Wanghan Xu Bin Shi Ao Liu Jiqiang Zhang Bo Dong 133 3 0 28 Feb 2024
DP-NMT: Scalable Differentially-Private Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 Timour Igamberdiev Doan Nam Long Vu Felix Künnecke Zhuo Yu Jannik Holmer Ivan Habernal 168 8 0 24 Nov 2023
Defending Against Authorship Identification Attacks Haining Wang 146 3 0 02 Oct 2023
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?International Conference on Language Resources and Evaluation (LREC), 2023 Christopher F. Weiss Frauke Kreuter Ivan Habernal 191 4 0 13 Jul 2023
Trade-Offs Between Fairness and Privacy in Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Cleo Matzken Steffen Eger Ivan Habernal SILM 270 6 0 24 May 2023
DP-BART for Privatized Text Rewriting under Local Differential PrivacyAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Timour Igamberdiev Ivan Habernal 207 23 0 15 Feb 2023
Differentially Private Natural Language Models: Recent Advances and Future DirectionsFindings (Findings), 2023 Lijie Hu Ivan Habernal Lei Shen Haiyan Zhao AAML 176 23 0 22 Jan 2023
Training Differentially Private Graph Neural Networks with Random Walk Sampling Morgane Ayle Jan Schuchardt Lukas Gosch Daniel Zügner Stephan Günnemann FedML 177 6 0 02 Jan 2023
Privacy-Preserving Models for Legal Natural Language Processing Ying Yin Ivan Habernal PILM AILaw 160 8 0 05 Nov 2022
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingInternational Conference on Computational Linguistics (COLING), 2022 Timour Igamberdiev Thomas Arnold Ivan Habernal 245 24 0 22 Aug 2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless NetworksIEEE Transactions on Wireless Communications (TWC), 2022 Mengyuan Lee Guanding Yu H. Dai 159 14 0 15 Aug 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection Bingzhe Wu Jintang Li Junchi Yu Yatao Bian Hengtong Zhang ... Guangyu Sun Peng Cui Zibin Zheng Yanfeng Guo P. Zhao OOD 205 29 0 20 May 2022
SoK: Differential Privacy on Graph-Structured Data Tamara T. Mueller Dmitrii Usynin Johannes C. Paetzold Daniel Rueckert Georgios Kaissis 199 19 0 17 Mar 2022
How reparametrization trick broke differentially-private text representation learningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Ivan Habernal 211 14 0 24 Feb 2022
Differentially Private Graph Classification with GNNsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 180 25 0 05 Feb 2022
Releasing Graph Neural Networks with Differential Privacy Guarantees Iyiola E. Olatunji Thorben Funke Megha Khosla 210 57 0 18 Sep 2021
When differential privacy meets NLP: The devil is in the detailConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Ivan Habernal SILM 123 41 0 07 Sep 2021
Private Graph Data Release: A SurveyACM Computing Surveys (CSUR), 2021 Yang D. Li M. Purcell Thierry Rakotoarivelo David B. Smith Thilina Ranbaduge K. S. Ng 213 39 0 09 Jul 2021
Discourse-Aware Neural Extractive Text SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 Jiacheng Xu Zhe Gan Yu Cheng Jingjing Liu BDL 275 289 0 30 Oct 2019