Multi-agent cyberphysical systems enable new capabilities in efficiency, resilience, and
security. The unique characteristics of these systems prompt a reevaluation of their security …

In this paper, we propose a first-order distributed optimization algorithm that is provably
robust to Byzantine failures–arbitrary and potentially adversarial behavior, where all the …

Existing algorithms in online optimization usually rely on trustful information, eg, reliable
knowledge of gradients, which makes them vulnerable to attacks. To take into account the …

This letter focuses on extremum seeking (ES) controllers with adversarial attacks in the form
of deception signals. While a persistent attack in a feedback controller may be difficult to …

We study the stability properties of a closed-loop system composed of a dynamical plant and
a feedback controller, the latter generating control signals that can be compromised by a …

Large-scale optimization problems are usually characterized not only by large amounts of
data points but points living in a high-dimensional space. Block coordinate methods allow …

In our rapidly evolving technological landscape, the proliferation of enabling technologies
for autonomous systems has given rise to a burgeoning realm of societal-scale smart …

This letter focuses on extremum seeking (ES) controllers with adversarial attacks in the form
of deception signals. While a persistent attack in a feedback controller may be difficult to …

Large-scale optimization problems are usually characterized not only by large amounts of
data points but points living in a high-dimensional space. Block coordinate methods allow …