Publishing graph statistics under node differential privacy has attracte...
Subgraph counting is fundamental for analyzing connection patterns or
cl...
Differentially private GNNs (Graph Neural Networks) have been recently
s...
Triangle counting in networks under LDP (Local Differential Privacy) is ...
For a better understanding of anonymization methods for location traces,...
Transfer learning has been widely studied and gained increasing populari...
Extended differential privacy, a generalization of standard differential...
Differentially private analysis of graphs is widely used for releasing
s...
LDP (Local Differential Privacy) has recently attracted much attention a...
With the widespread use of LBSs (Location-based Services), synthesizing
...
We introduce a general model for the local obfuscation of probability
di...
We introduce a formal model for the information leakage of probability
d...
We propose a formal model for the privacy of user attributes in terms of...
LDP (Local Differential Privacy) has been widely studied to estimate
sta...
LDP (Local Differential Privacy) has recently attracted much attention a...
Obfuscation techniques in location-based services (LBSs) have been shown...
A cancelable biometric scheme called correlation-invariant random filter...