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TMN offers several possibilities: from 10 fake queries per minute to 1 fake query per hour.
For instance, for 1 fake query, unknown queries represent 78.9%% of non-identified queries while misclassified queries represent 21.1%%.
Consequently, sending too few fake queries helps the attacker to retrieve initial queries with a high precision (almost 100%% of precision for 1 fake query per hour).
Indeed, decreasing the number of fake queries from 60 to 1 fake query per hour, increases the precision by 31.4 and 32.5 % (for SimAttack without and with prior knowledge, respectively).
Results show that GooPIR over an unlinkability solution protects more strongly the queries of users if the adversary has smaller user profiles: for 1 fake query adding by GooPIR, SimAttack identifies 16.1%% of queries when 5%% of the user profile is considered, while 32.7%% of the queries are identified when 100%% of the profile is considered.
1) Fake your own death.
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The indictment offered insight into 14 fake accidents from February 1999 to July 2000.
It was here that true authorities identified 22 fake Modiglianis.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com