activity
20172020
most citedDetecting ADS-B Spoofing Attacks using Deep Neural Networks

13 citations · 30 across the 7 of their papers we have counts for

collaborators

16 papers

eess.SY2020

Safety-Critical Online Control with Adversarial Disturbances

Bhaskar Ramasubramanian, Baicen Xiao, Linda Bushnell +1

This paper studies the control of safety-critical dynamical systems in the presence of adversarial disturbances. We seek to synthesize state-feedback controllers to minimize a cost…

eess.SY2020

Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries

Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark +2

A cyber-physical system (CPS) is expected to be resilient to more than one type of adversary. In this paper, we consider a CPS that has to satisfy a linear temporal logic (LTL) obj…

eess.SY2020

Secure Control in Partially Observable Environments to Satisfy LTL Specifications

Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark +2

This paper studies the synthesis of control policies for an agent that has to satisfy a temporal logic specification in a partially observable environment, in the presence of an ad…

eess.SY2020

Submodular Input Selection for Synchronization in Kuramoto Networks

Dinuka Sahabandu, Andrew Clark, Linda Bushnell +1

Synchronization is an essential property of engineered and natural networked dynamical systems. The Kuramoto model of nonlinear synchronization has been widely studied in applicati…

eess.SY2020

Control Synthesis for Cyber-Physical Systems to Satisfy Metric Interval Temporal Logic Objectives under Timing and Actuator Attacks

Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark +2

This paper studies the synthesis of controllers for cyber-physical systems (CPSs) that are required to carry out complex tasks that are time-sensitive, in the presence of an advers…

cs.AI202013 cited

FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback

Baicen Xiao, Qifan Lu, Bhaskar Ramasubramanian +3

Reinforcement learning has been successful in training autonomous agents to accomplish goals in complex environments. Although this has been adapted to multiple settings, including…