The finding, from a recently published research paper, is based on results of experiments correlating specific individuals with accounts or posts across more than one social media platform. The success rate was far greater than existing classical deanonymization work that relied on humans assembling structured data sets suitable for algorithmic matching or manual work by skilled investigators. Recall—that is, how many users were successfully deanonymized—was as high as 68 percent. Precision—meaning the rate of guesses that correctly identify the user—was up to 90 percent.
«Били в одно место». Российский газовоз уничтожен украинскими дронами в Средиземном море. Что известно об атаке и судьбе моряков14:20
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- High-trust or low-trust environment? (same tool, different failure modes)
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今年2月27日，浙江医药在投资者互动平台中进一步确认，新码生物已建成完全自主知识产权的非天然氨基酸偶联技术平台，且近两年成功突破生产效率瓶颈。