Monitoring web browsing behavior with differential privacy

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BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model (2017, background): “For example, [24, 26, 16, 31] address the problem of publishing a subset of the data contained in a search log with differential privacy guarantees; [27] and [6] propose approaches for frequent item identification; [14] propose an approach for monitoring aggregated web browsing activities; and so on”
Privacy-Preserving Query Log Sharing Based on Prior N-Word Aggregation (2016, methodology): “Fig.3(c) describes the impact of the maximum records number d1 where the smaller values of ARE imply higher similarity between the noisy counts and the original counts.”
Differential Privacy Techniques for Cyber Physical Systems: A Survey (2018, background): “The noise in these techniques is added in such a way that it minimizes rate of error and improves utility of data, along with satisfying ε-differential privacy value; (ii) Correlation Exploitation [63], [70] [82]–[84], in these proposed strategies of differential privacy, the correlation among attri”