Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion Article Swipe
Tianyuan Zou
,
Yang Liu
,
Peng Li
,
Yisheng Xiong
,
Jianqing Zhang
,
Jingjing Liu
,
Xiaozhou Ye
,
Ye Ouyang
,
Yaqin Zhang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2502.00245
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2502.00245
Substantial quantity and high quality are the golden rules of making a good training dataset with sample privacy protection equally important. Generating synthetic samples that resemble high-quality private data while ensuring Differential Privacy (DP), a formal privacy guarantee, promises scalability and practicality. However, existing methods relying on pre-trained models for data synthesis %that avoid fine-tuning large pre-trained generative models often struggle in data-deficient scenarios, suffering from limited sample size, inevitable generation noise and existing pre-trained model bias. To address these challenges, we propose a novel contrAstive private data Synthesis via Weighted multiple Pre-trained language models (PLM) framework, named as WASP. WASP utilizes limited private samples for more accurate private data distribution estimation via a Top-Q voting mechanism, and leverages low-quality synthetic samples for contrastive generation via collaboration among dynamically weighted multiple pre-trained models.Extensive experiments on 6 well-developed datasets with 6 open-source and 3 closed-source PLMs demonstrate the superiority of WASP in improving model performance over diverse downstream tasks. Code is available at https://anonymous.4open.science/r/WASP.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2502.00245
- https://arxiv.org/pdf/2502.00245
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407123372
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407123372Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2502.00245Digital Object Identifier
- Title
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Contrastive Private Data Synthesis via Weighted Multi-PLM FusionWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-01Full publication date if available
- Authors
-
Tianyuan Zou, Yang Liu, Peng Li, Yisheng Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Yaqin ZhangList of authors in order
- Landing page
-
https://arxiv.org/abs/2502.00245Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2502.00245Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2502.00245Direct OA link when available
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Fusion, Computer science, Natural language processing, Artificial intelligence, Linguistics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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