Enhancing User Privacy in Natural Language Processing (NLP) Systems
Chandan Kumar Behera,
D. Lakshmi,
Isha Kondurkar
Abstract:NLP has witnessed a remarkable improvement in applications, from voice assistants to sentiment analysis and language translations. However, in this process, a huge amount of personal data flows through the NLP system. Over time, a variety of techniques and frameworks have been developed to ensure that NLP systems do not ignore user privacy. This chapter highlights the significance of privacy-enhancing technologies (differential privacy, secure multi-party computation, homomorphic encryption, federated learning… Show more
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