Randomized Response
A local differential privacy mechanism that conceals an individual's true information by answering truthfully with a certain probability and randomly with another probability, commonly used in sensitive data collection.
Timeline (last 90 days)
For Sample-DP, privacy protection applies to entire samples (i.e., a pair of preference comparisons), requiring that the replacement of any pair of samples not significantly affect the output distribution; for Label-DP, privacy protection applies only to labels (i.e., the preference direction) and is usually implemented via the randomized response mechanism.
Randomized response is a classical local differential privacy mechanism whose basic idea is to answer truthfully with a certain probability and give a random answer with another probability, thereby concealing true information at the individual level.
All Facts (2)
For Sample-DP, privacy protection applies to entire samples (i.e., a pair of preference comparisons), requiring that the replacement of any pair of samples not significantly affect the output distribution; for Label-DP, privacy protection applies only to labels (i.e., the preference direction) and is usually implemented via the randomized response mechanism.
50%UnverifiedRandomized response is a classical local differential privacy mechanism whose basic idea is to answer truthfully with a certain probability and give a random answer with another probability, thereby concealing true information at the individual level.
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