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Timour Igamberdiev
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2020 – today
- 2024
- [c7]Timour Igamberdiev, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, Ivan Habernal:
DP-NMT: Scalable Differentially Private Machine Translation. EACL (Demonstrations) 2024: 94-105 - [c6]Doan Nam Long Vu, Timour Igamberdiev, Ivan Habernal:
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation. EMNLP (Findings) 2024: 507-527 - [i6]Doan Nam Long Vu, Timour Igamberdiev, Ivan Habernal:
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation. CoRR abs/2407.18789 (2024) - 2023
- [b1]Timour Igamberdiev:
Differentially private methods in natural language processing. Technical University of Darmstadt, Germany, 2023 - [c5]Timour Igamberdiev, Ivan Habernal:
DP-BART for Privatized Text Rewriting under Local Differential Privacy. ACL (Findings) 2023: 13914-13934 - [i5]Timour Igamberdiev, Ivan Habernal:
DP-BART for Privatized Text Rewriting under Local Differential Privacy. CoRR abs/2302.07636 (2023) - [i4]Timour Igamberdiev, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, Ivan Habernal:
DP-NMT: Scalable Differentially-Private Machine Translation. CoRR abs/2311.14465 (2023) - 2022
- [c4]Timour Igamberdiev, Thomas Arnold, Ivan Habernal:
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. COLING 2022: 2927-2933 - [c3]Manuel Senge, Timour Igamberdiev, Ivan Habernal:
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. EMNLP 2022: 7340-7353 - [c2]Timour Igamberdiev, Ivan Habernal:
Privacy-Preserving Graph Convolutional Networks for Text Classification. LREC 2022: 338-350 - [i3]Timour Igamberdiev, Thomas Arnold, Ivan Habernal:
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. CoRR abs/2208.10400 (2022) - 2021
- [i2]Timour Igamberdiev, Ivan Habernal:
Privacy-Preserving Graph Convolutional Networks for Text Classification. CoRR abs/2102.09604 (2021) - [i1]Manuel Senge, Timour Igamberdiev, Ivan Habernal:
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. CoRR abs/2112.08159 (2021)
2010 – 2019
- 2018
- [c1]Timour Igamberdiev, Hyopil Shin:
Metaphor Identification with Paragraph and Word Vectorization: An Attention-Based Neural Approach. PACLIC 2018
Coauthor Index
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