all InfoSec news
AI-Driven Anonymization: Protecting Personal Data Privacy While Leveraging Machine Learning
Feb. 28, 2024, 5:11 a.m. | Le Yang, Miao Tian, Duan Xin, Qishuo Cheng, Jiajian Zheng
cs.CR updates on arXiv.org arxiv.org
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 …
anonymization artificial artificial intelligence arxiv attacks criminal cs.ai cs.cr cs.lg data data privacy development exposed information intelligence machine machine learning people personal personal data personal data privacy personal information privacy privacy and security protecting protection reports security theft threat
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
Chief Information Security Officer (CISO)
@ CSIRO | Adelaide, SA, AU
Cyber Security Engineer - Clearance Required
@ Logistics Management Institute | Remote, United States
Security Engineer, Infrastructure
@ Meta | Bellevue, WA | Menlo Park, CA | Washington, DC | New York City
TS Senior Security Engineer
@ UL Solutions | Mumbai, Maharashtra, India
Security Operations Engineer
@ Fortis Games | Remote - United Kingdom
Senior Product Compliance Engineer
@ Element Biosciences | San Diego - Headquarters