collaborators

5 papers

cs.RO2026

Causality-Based Parametric Control Barrier Function for Safe Multi-Vehicle Interaction

Yiwei Lyu, Caleb Chang, John M. Dolan

Safe control has been widely studied in various safety-critical applications, for instance, autonomous driving. In order to ensure the autonomous vehicle does not collide with othe…

cs.LG2026

Do as the Romans Do: Learning Universal Behaviors from Heterogeneous Agents

Caleb Chang, Davin Win Kyi, Natasha Jaques +1

Humans often acquire new skills by observing others, since observed behaviors implicitly reveal how to act in an environment. However, observations drawn from a heterogeneous popul…

cs.MA2026

Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions

Isaac Remy, Caleb Chang, Karen Leung

Human behavior in interactive settings is shaped not only by individual objectives but also by shared constraints with others, such as safety. Understanding how people allocate res…

cs.CR2025

Characterizing Cyber Attacks against Space Infrastructures with Missing Data: Framework and Case Study

Ekzhin Ear, Jose Luis Castanon Remy, Caleb Chang +3

Cybersecurity of space infrastructures is an emerging topic, despite space-related cybersecurity incidents occurring as early as 1977 (i.e., hijacking of a satellite transmission s…

cs.CR2025

Space Cybersecurity Testbed: Fidelity Framework, Example Implementation, and Characterization

Jose Luis Castanon Remy, Caleb Chang, Ekzhin Ear +1

Cyber threats against space infrastructures, including satellites and systems on the ground, have not been adequately understood. Testbeds are important to deepen our understanding…