14 citations · 63 across the 24 of their papers we have counts for
8 papers · 1 filter
Lie Rarely, Lie Big: Stealthy Insider Attacks on LLM Robot Teams
Sribalaji C. Anand, George J. Pappas
When a team of robots delegates planning and mutual trust to LLM agents, a single compromised robot can corrupt the shared outcome. We study this threat in a grounded task: a multi…
Verifying performance, stability, and feasibility of inexact non-linear model predictive controllers
Rajiv Sambharya, Sribalaji C. Anand, George Pappas
We introduce a verification framework to numerically analyze inexact model predictive controllers (MPCs) in the constrained non-linear discrete-time setting. Rather than modifying…
Antagonistic Control: Foundations, Scalability and Nonlinearity
Sribalaji C. Anand, André M. H. Teixeira
This paper studies the worst-case impact of constrained control inputs: an input seeks to maximize the average cost of some outputs, measured in the or norm, while rema…
Katz Centrality-Based Security Allocation in Positive Networks
Anh Tung Nguyen, Sribalaji C. Anand, André M. H. Teixeira
This paper deals with security allocation challenges for networked control systems represented by positive-weighted digraphs under stealthy false data injection attacks. These syst…
Scalable Design of Attack-Resilient Controllers for Positive Systems
Alba Gurpegui, Sribalaji C. Anand, André M. H. Teixeira
This paper proposes a framework for secure and resilient controller design for positive systems against cyber-attacks. In particular, we consider a network-controlled system where…
Resilient Consensus in Agentic AI
Sribalaji C. Anand, George J. Pappas
Large language model (LLM) agents are increasingly deployed in multi-agent systems where they must coordinate and agree on shared decisions. We ask whether classical resilient cons…
Attack Detection using Time Series Foundation Models
Sribalaji C. Anand, Anh Tung Nguyen, George J. Pappas
This paper addresses the problem of attack detection in cyber-physical systems without any knowledge of the plant model or its structure. A remotely located plant transmits sensor…
Adversarial Robustness of Deep State Space Models for Forecasting
Sribalaji C. Anand, George J. Pappas
State-space model (SSM) for time-series forecasting have demonstrated strong empirical performance on benchmark datasets, yet their robustness under adversarial perturbations is po…