4 citations · 4 across the 2 of their papers we have counts for
7 papers
Robust Adversarial Classification via Abstaining
Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti
In this work, we consider a binary classification problem and cast it into a binary hypothesis testing framework, where the observations can be perturbed by an adversary. To improv…
On a Security vs Privacy Trade-off in Interconnected Dynamical Systems
Vaibhav Katewa, Rajasekhar Anguluri, Fabio Pasqualetti
We study a security problem for interconnected systems, where each subsystem aims to detect local attacks using local measurements and information exchanged with neighboring subsys…
Network Theoretic Analysis of Maximum a Posteriori Detectors for Optimal Input Detection
Rajasekhar Anguluri, Vaibhav Katewa, Sandip Roy +1
This paper considers maximum-a-posteriori (MAP) and linear discriminant based MAP detectors to detect changes in the mean and covariance of a stochastic input, driving specific net…
On the Robustness of Data-Driven Controllers for Linear Systems
Rajasekhar Anguluri, Abed AlRahman Al Makdah, Vaibhav Katewa +1
This paper proposes a new framework and several results to quantify the performance of data-driven state-feedback controllers for linear systems against targeted perturbations of t…
Accuracy Prevents Robustness in Perception-based Control
Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti
In this paper we prove the existence of a fundamental trade-off between accuracy and robustness in perception-based control, where control decisions rely solely on data-driven, and…
Centralized Versus Decentralized Detection of Attacks in Stochastic Interconnected Systems
Rajasekhar Anguluri, Vaibhav Katewa, Fabio Pasqualetti
We consider a security problem for interconnected systems governed by linear, discrete, time-invariant, stochastic dynamics, where the objective is to detect exogenous attacks by p…