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20182026
most citedJailbreaking Black Box Large Language Models in Twenty Queries

47 citations · 262 across the 38 of their papers we have counts for

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5 papers · 1 filter

eess.SY2023

Data-Driven Modeling and Verification of Perception-Based Autonomous Systems

Thomas Waite, Alexander Robey, Hassani Hamed +2

This paper addresses the problem of data-driven modeling and verification of perception-based autonomous systems. We assume the perception model can be decomposed into a canonical…

eess.SY2021

Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations

Lars Lindemann, Alexander Robey, Lejun Jiang +3

This paper addresses learning safe output feedback control laws from partial observations of expert demonstrations. We assume that a model of the system dynamics and a state estima…

eess.SY2021

Learning Robust Hybrid Control Barrier Functions for Uncertain Systems

Alexander Robey, Lars Lindemann, Stephen Tu +1

The need for robust control laws is especially important in safety-critical applications. We propose robust hybrid control barrier functions as a means to synthesize control laws t…

eess.SY2020★ 17 cited

Learning Hybrid Control Barrier Functions from Data

Lars Lindemann, Haimin Hu, Alexander Robey +4

Motivated by the lack of systematic tools to obtain safe control laws for hybrid systems, we propose an optimization-based framework for learning certifiably safe control laws from…

eess.SY2020

Learning Control Barrier Functions from Expert Demonstrations

Alexander Robey, Haimin Hu, Lars Lindemann +4

Inspired by the success of imitation and inverse reinforcement learning in replicating expert behavior through optimal control, we propose a learning based approach to safe control…