A multi-user private data compression problem is studied. A server has a...
The design of a statistical signal processing privacy problem is studied...
A private cache-aided compression problem is studied, where a server has...
We extend the results of Ghourchian et al. [IEEE JSAIT-2021], to joint
s...
In this work, we study the performance of the Thompson Sampling algorith...
Pointwise maximal leakage (PML) is an operationally meaningful privacy
m...
We investigate the possibility of guaranteeing inferential privacy for
m...
We study an information theoretic privacy mechanism design problem for t...
A privacy mechanism design problem is studied through the lens of inform...
Building on the framework introduced by Xu and Raginksy [1] for supervis...
We introduce a privacy measure called pointwise maximal leakage, defined...
An information theoretic privacy mechanism design problem for two scenar...
The design of privacy mechanisms for two scenarios is studied where the
...
We study the problem of rate-distortion-equivocation with side-informati...
We introduce fundamental bounds on achievable cumulative rate distributi...
We study a statistical signal processing privacy problem, where an agent...
Most methods for publishing data with privacy guarantees introduce rando...
This paper investigates the problem of synthesizing joint distributions ...
Machine learning models are known to memorize the unique properties of
i...
In this paper, we study a stochastic disclosure control problem using
in...
We consider a three-node network, in which two agents wish to communicat...
When it comes to preserving privacy in medical machine learning, two
imp...
There is a growing interest in analysing the freshness of data in networ...
The trade-off of hypothesis tests on the correlated privacy hypothesis a...
Smart meter privacy and privacy-preserving energy management are studied...