Timour Igamberdiev

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Privacy Preservation

Machine Translation

Multilingual Documents

Differential Privacy

Top Venues

Publications

Timour Igamberdiev, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, Ivan Habernal
DP-NMT: Scalable Differentially Private Machine Translation. EACL (Demonstrations) (2024)
Doan Nam Long Vu, Timour Igamberdiev, Ivan Habernal
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation. CoRR (2024)
Timour Igamberdiev, Ivan Habernal
DP-BART for Privatized Text Rewriting under Local Differential Privacy. ACL (Findings) (2023)
Timour Igamberdiev, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, Ivan Habernal
DP-NMT: Scalable Differentially-Private Machine Translation. CoRR (2023)
Timour Igamberdiev, Ivan Habernal
DP-BART for Privatized Text Rewriting under Local Differential Privacy. CoRR (2023)
Timour Igamberdiev, Ivan Habernal
Privacy-Preserving Graph Convolutional Networks for Text Classification. LREC (2022)
Manuel Senge, Timour Igamberdiev, Ivan Habernal
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. EMNLP (2022)
Timour Igamberdiev, Thomas Arnold, Ivan Habernal
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. COLING (2022)
Timour Igamberdiev, Thomas Arnold, Ivan Habernal
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. CoRR (2022)
Timour Igamberdiev, Ivan Habernal
Privacy-Preserving Graph Convolutional Networks for Text Classification. CoRR (2021)
Manuel Senge, Timour Igamberdiev, Ivan Habernal
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. CoRR (2021)
Timour Igamberdiev, Hyopil Shin
Metaphor Identification with Paragraph and Word Vectorization: An Attention-Based Neural Approach. PACLIC (2018)