In an era where data privacy is paramount, the challenge of sharing information without compromising sensitive details has become more relevant than ever. Here, we consider the framework known as Controlled Query Evaluation (CQE), an innovative approach that safeguards confidentiality while still providing maximal query answers. We present an extension of this framework that enhances […]
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ACM TechBrief on Safeguarding Data Privacy As data collection becomes ever-present and computing power continues to grow, society is grappling with unprecedented challenges in safeguarding information privacy. With the rapid expansion of data collection, sophisticated algorithms, and powerful computational tools, it has become alarmingly easy to reconstruct detailed personal profiles from publicly available information. This has rendered traditional privacy controls increasingly ineffective. Advances in computer science, statistics, and information science not only highlight the growing risks to privacy but also offer the potential for more robust and systematic protection measures. https://lnkd.in/geewA-uB #privacy #privacyprotection
ACM TechBrief: Data Privacy Protection
dl.acm.org
