AI-Driven Anonymization: Protecting Personal Data Privacy While Leveraging Machine Learning

arXiv:2402.17191v1 Announce Type: cross
Abstract: The development of artificial intelligence has significantly transformed people's lives. However, it has also posed a significant threat to privacy and security, with numerous instances of personal information being exposed online and reports of criminal attacks and theft. Consequently, the need to achieve intelligent protection of personal information through machine learning algorithms has become a paramount concern. Artificial intelligence leverages advanced algorithms and technologies to effectively encrypt and anonymize personal data, enabling valuable data analysis …

abstract anonymization artificial artificial intelligence arxiv attacks cs.ai cs.cr cs.lg data data privacy development information instances intelligence intelligent machine machine learning people personal data personal information privacy privacy and security protection reports security theft threat type