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Updated: Jul 20, 2025

Novel Sequence Discovery by Subtractive Genomics
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使用歧视性序列模型评估转录组重新识别风险

Shuvom Sadhuka1,2, Daniel Fridman2,3, Bonnie Berger1,2

  • 1Computer Science and AI Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

Genome research
|August 4, 2023
PubMed
概括

基因表达数据可以用来将个人与数据集联系起来,从而构成隐私风险. 一个新的歧视性序列模型 (DSM) 提高了这些链接攻击的准确性,揭示了以前低估的隐私问题.

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