Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning
Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zumrut Muftuoglu
Abstract
Privacy is of primary importance when it comes to the Financial Domain as the data is highly confidential and no third party can be having access to it. Natural Language Processing (NLP) techniques can be applied for text classification and entity detection purposes in financial domains like customer feedback sentiment analysis, invoice entity detection, categorisation of financial documents by type etc. Due to the sensitive nature of such data, privacy measures need to be taken for handling and training large models with such data. In this work, we propose a contextualized transformer (BERT and RoBERTa) based text classification model integrated with privacy features like Differential Privacy (DP) and Federated Learning (FL). We present how to privately train NLP models and desirable privacy utility trade-offs and evaluate it on the Financial Phrase Bank dataset.- Anthology ID:
- 2021.econlp-1.7
- Volume:
- Proceedings of the Third Workshop on Economics and Natural Language Processing
- Month:
- November
- Year:
- 2021
- Address:
- Punta Cana, Dominican Republic
- Editors:
- Udo Hahn, Veronique Hoste, Amanda Stent
- Venue:
- ECONLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 50–55
- Language:
- URL:
- https://aclanthology.org/2021.econlp-1.7
- DOI:
- 10.18653/v1/2021.econlp-1.7
- Cite (ACL):
- Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, and Zumrut Muftuoglu. 2021. Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning. In Proceedings of the Third Workshop on Economics and Natural Language Processing, pages 50–55, Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning (Basu et al., ECONLP 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2021.econlp-1.7.pdf