Sayyou area data scientistquerying a naively anonymized database. You Want to find outhe salary of aparticular individual,and you $4$pints woman over$60$ athe company,lf the database allows you to get "agregated" responses witho ut aditionalsecurity of differential privacy, know thats she isthe only queries that targets this woman and exposes her salary to me$.$ For example, ifit is truly naive, I can ask for the salary of allwomen over $60,$ Ican perform aseriesof immediately returningher can perform ro series of queries $($one for alls Ssalaries of people salary. Mfitisbetter protected but still doesn't account for over $60,$ ne for all salaries of men over $60|$ and use their difference to reveal her salary" This quote comes irectly from the privacy textbook of our course, whichalstudent are suppose to read. What type of attack goes in the blank?

membershipinference attack

singling out attacks

attribute privacy attack

inkage altacks