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d012046d85
- Token-level differential privacy for LLMs - Integration with Document Privacy API - Comprehensive test suite and documentation - Examples and Jupyter notebook included
42 lines
1.2 KiB
YAML
42 lines
1.2 KiB
YAML
cff-version: 1.2.0
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title: "DP-Fusion-Lib: Token-Level Differentially Private Inference for Large Language Models"
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message: "If you use this software, please cite it as below."
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type: software
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authors:
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- family-names: "Thareja"
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given-names: "Rushil"
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email: "rushil.thareja@mbzuai.ac.ae"
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affiliation: "MBZUAI"
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repository-code: "https://github.com/rushil-thareja/dp-fusion-lib"
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url: "https://github.com/rushil-thareja/dp-fusion-lib"
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license: "LicenseRef-NonCommercial"
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version: "0.1.0"
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date-released: "2025-01-01"
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keywords:
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- differential-privacy
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- text-generation
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- large-language-models
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- privacy
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- machine-learning
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- renyi-divergence
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- nlp
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preferred-citation:
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type: article
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authors:
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- family-names: "Thareja"
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given-names: "Rushil"
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- family-names: "Lukas"
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given-names: "Nils"
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- family-names: "Baba"
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given-names: "Sarim"
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- family-names: "Abbasi"
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given-names: "Ahmed"
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- family-names: "Asokan"
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given-names: "N."
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title: "DP-Fusion: Token-Level Differentially Private Inference for Large Language Models"
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year: 2025
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url: "https://arxiv.org/abs/2507.04531"
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identifiers:
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- type: other
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value: "arXiv:2507.04531"
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description: "arXiv preprint"
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