Project - | Experiments with Differential Privacy Library - Diffprivlib |
Objective | The key insight of differential privacy is that as the query is made on the data of fewer and fewer people, more noise needs to be added to the query result to produce the same amount of privacy |
Outcomes | Protect User Data with differential Privacy |
Apply by Date | 20/01/2022 |
Applied Teams | 0 / 3 |
Duration | 6 months |
College | 1. Cummins College of Engineering, Pune |
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Mentor | Mohit Agrawal |