With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

Deep learning driven joint source-channel coding (JSCC) for wireless image or video
transmission, also called DeepJSCC, has been a topic of interest recently with very …

We study a statistical signal processing privacy problem, where an agent observes useful
data and wants to reveal the information to a user. Since the useful data is correlated with …

We study privacy-aware communication over a wiretap channel using end-to-end learning.
Alice wants to transmit a source signal to Bob over a binary symmetric channel, while …

Pufferfish privacy (PP) is a generalization of differential privacy (DP), that offers flexibility in
specifying sensitive information and integrates domain knowledge into the privacy definition …

Internet of Things devices have become highly popular thanks to the services they offer.
However, they also raise privacy concerns since they share fine-grained time-series user …

We address the problem of monitoring a set of binary stochastic processes and generating
an alert when the number of anomalies among them exceeds a threshold. For this, the …

In this paper, we develop a framework to achieve a desirable trade-off between fairness,
inference accuracy and privacy protection in the inference as service scenario. Instead of …

Shannon and Weaver categorized communications into three levels of problems: the
technical problem, which tries to answer the question “how accurately can the symbols of …