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Learning to Attack: Uncovering Privacy Risks in Sequential Data Releases

arXiv — cs.LG•Thursday, October 30, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
A recent study highlights the growing importance of addressing privacy risks in sequential data releases, particularly in fields like AI and data science. As sensitive information is increasingly shared over time, understanding how to protect this data becomes crucial. This research not only sheds light on the vulnerabilities present in continuous data publishing but also emphasizes the need for robust privacy measures, making it a significant step towards safeguarding personal information in various industries.
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