14 citations · 63 across the 24 of their papers we have counts for
26 papers
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…
On Frequency-Weighted Extended Balanced Truncation
Sribalaji C. Anand, Henrik Sandberg
This paper addresses the problem of frequency-weighted extended balanced truncation for discrete and continuous-time linear time-invariant plants. We show that the frequency-weight…
Quantifying Security for Networked Control Systems: A Review
Sribalaji C. Anand, Anh Tung Nguyen, André M. H. Teixeira +2
Networked Control Systems (NCSs) are integral in critical infrastructures such as power grids, transportation networks, and production systems. Ensuring the resilient operation of…
Security Metrics for Uncertain Interconnected Systems under Stealthy Data Injection Attacks
Anh Tung Nguyen, Sribalaji C. Anand, André M. H. Teixeira
This paper quantifies the security of uncertain interconnected systems under stealthy data injection attacks. In particular, we consider a large-scale system composed of a certain…
Security of Gradient Tracking Algorithms Against Malicious Agents
Sribalaji C. Anand, Alexander J Gallo, Nicola Bastianello
Consensus algorithms are fundamental to multi-agent distributed optimization, and their security under adversarial conditions is an active area of research. While prior works prima…
Stealthy Sensor Attacks Against Direct Data-Driven Controllers
Sribalaji C. Anand
This paper investigates the vulnerability of discrete-time linear time-invariant systems to stealthy sensor attacks during the learning phase. In particular, we demonstrate that a…
Feasibility of Randomized Detector Tuning for Attack Impact Mitigation
Sribalaji C. Anand, Kamil Hassan, Henrik Sandberg
This paper considers the problem of detector tuning against false data injection attacks. In particular, we consider an adversary injecting false sensor data to maximize the state…
Switching multiplicative watermark design against covert attacks
Alexander J. Gallo, Sribalaji C. Anand, André M. H. Teixeira +1
Active techniques have been introduced to give better detectability performance for cyber-attack diagnosis in cyber-physical systems (CPS). In this paper, switching multiplicative…
Scalable and Optimal Security Allocation in Networks against Stealthy Injection Attacks
Anh Tung Nguyen, Sribalaji C. Anand, André M. H. Teixeira
This paper addresses the security allocation problem in a networked control system under stealthy injection attacks. The networked system is comprised of interconnected subsystems…
Data-Driven Identification of Attack-free Sensors in Networked Control Systems
Sribalaji C. Anand, Michelle S. Chong, André M. H. Teixeira
This paper proposes a data-driven framework to identify the attack-free sensors in a networked control system when some of the sensors are corrupted by an adversary. An operator wi…
Optimal Detector Placement in Networked Control Systems under Cyber-attacks with Applications to Power Networks
Anh Tung Nguyen, Sribalaji C. Anand, André M. H. Teixeira +1
This paper proposes a game-theoretic method to address the problem of optimal detector placement in a networked control system under cyber-attacks. The networked control system is…
Risk-based Security Measure Allocation Against Injection Attacks on Actuators
Sribalaji C. Anand, André M. H. Teixeira
This article considers the problem of risk-optimal allocation of security measures when the actuators of an uncertain control system are under attack. We consider an adversary inje…
Privacy and Security in Network Controlled Systems via Dynamic Masking
Mohamed Abdalmoaty, Sribalaji C. Anand, André M. H. Teixeira
In this paper, we propose a new architecture to enhance the privacy and security of networked control systems against malicious adversaries. We consider an adversary which first le…
A Zero-Sum Game Framework for Optimal Sensor Placement in Uncertain Networked Control Systems under Cyber-Attacks
Anh Tung Nguyen, Sribalaji C. Anand, André M. H. Teixeira
This paper proposes a game-theoretic approach to address the problem of optimal sensor placement against an adversary in uncertain networked control systems. The problem is formula…
Risk assessment and optimal allocation of security measures under stealthy false data injection attacks
Sribalaji C. Anand, André M. H. Teixeira, Anders Ahlén
This paper firstly addresses the problem of risk assessment under false data injection attacks on uncertain control systems. We consider an adversary with complete system knowledge…
Risk-averse controller design against data injection attacks on actuators for uncertain control systems
Sribalaji C. Anand, André M. H. Teixeira
In this paper, we consider the optimal controller design problem against data injection attacks on actuators for an uncertain control system. We consider attacks that aim at maximi…
Design of multiplicative watermarking against covert attacks
Alexander J. Gallo, Sribalaji C. Anand, André M. H. Teixeira +1
This paper addresses the design of an active cyberattack detection architecture based on multiplicative watermarking, allowing for detection of covert attacks. We propose an optima…