Simple analysis of energy consumption patterns recorded by smart meters can be used to
deduce household occupancy. With access to higher‐resolution smart‐meter readings, we …

We introduce the problem of learning-based attacks in a simple abstraction of cyber-physical
systems—the case of a discrete-time, linear, time-invariant plant that may be subject to an …

In the state-of-the-art literature on cryptography and control theory, there has been no
systematic methodology of constructing cyber–physical systems that can achieve the …

We study the problem of learning-based attacks in linear systems, where the communication
channel between the controller and the plant can be hijacked by a malicious attacker. We …

In this article, we study a privacy filter design problem for a sequence of sensor
measurements whose joint probability density function (pdf) depends on a private …

The impact that each individual non‐pharmaceutical intervention (NPI) had on the spread
rate of COVID‐19 is difficult to estimate, since several NPIs were implemented in rapid …

This article investigates the trade‐off between privacy and security in cyber‐physical
systems, with the goal of designing a privacy‐preserving mechanism based on information …

In networked environments, adversaries may exploit location information to perform carefully
crafted attacks on cyber-physical systems (CPS). To prevent such security breaches, this …

In the recent years, we have observed three significant trends in control systems: a renewed
interest in data-driven control design, the abundance of cloud computational services and …

This paper addresses the optimal state estimation problem for dynamic systems while
preserving private information against an adversary. To dominate the adversary's estimation …