![](bgb.png)
work, which can reduce client-server communication
cost (e.g., hashing-based protocols such as BLH and
OLH) in bandwidth-constrained environments. Third,
recall from Section 5 that bucket sizes are equal for
all buckets (R). We plan to investigate the utility and
privacy impacts of uneven bucket sizes, e.g., whether
uneven bucket sizes can help improve estimation util-
ity, and whether small bucket sizes may increase the
risk of identifiability. Furthermore, we plan to in-
vestigate whether bucket sizes can be automatically
learned from the underlying data.
ACKNOWLEDGEMENTS
We gratefully acknowledge the support from The
Scientific and Technological Research Council of
Turkiye (TUBITAK) under project number 121E303.
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On the Effectiveness of Re-Identification Attacks and Local Differential Privacy-Based Solutions for Smart Meter Data
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