2 citations · 3 across the 5 of their papers we have counts for
5 papers
Community Consensus: Converging Locally despite Adversaries and Heterogeneous Connectivity
Cristina Gava, Aron Vekassy, Matthew Cavorsi +2
We introduce the concept of community consensus in the presence of malicious agents using a well-known median-based consensus algorithm. We consider networks that have multiple wel…
Dynamic Crowd Vetting: Collaborative Detection of Malicious Robots in Dynamic Communication Networks
Matthew Cavorsi, Frederik Mallmann-Trenn, David Saldaña +1
Coordination in a large number of networked robots is a challenging task, especially when robots are constantly moving around the environment and there are malicious attacks within…
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots (evolved version)
Matthew Cavorsi, Orhan Eren Akgün, Michal Yemini +2
We develop a resilient binary hypothesis testing framework for decision making in adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust observations…
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
Matthew Cavorsi, Orhan Eren Akgün, Michal Yemini +2
We develop a resilient binary hypothesis testing framework for decision making in adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust observations…
Crowd Vetting: Rejecting Adversaries via Collaboration--with Application to Multi-Robot Flocking
Frederik Mallmann-Trenn, Matthew Cavorsi, Stephanie Gil
We characterize the advantage of using a robot's neighborhood to find and eliminate adversarial robots in the presence of a Sybil attack. We show that by leveraging the opinions of…