Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4-Reference-Cited by-同舟云学术

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Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4

Published:2024-06-30 Issue: Volume:2 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Mandal Bishwas¹,Amariucai George¹,Wei Shuangqing²

Affiliation:

1. Kansas State University,Department of Computer Science,Manhattan,KS,USA,66506

2. Louisiana State University,Division of Electrical & Computer Engineering,Baton Rouge,LA,USA,70803

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651289.pdf?arnumber=10651289

Reference34 articles.

1. Deep learning: A comprehensive overview on techniques, taxonomy, applications and research directions;Sarker,2021

2. Attention is all you need;Vaswani,2017

3. Language models are few-shot learners;Brown,2020

4. Tabllm: Few-shot classification of tabular data with large language models;Hegselmann,2023

5. Extracting training data from large language models;Carlini,2021

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