activity
20222025
most citedOff-Policy Evaluation for Human Feedback

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2025

MARS: Defending Unmanned Aerial Vehicles From Attacks on Inertial Sensors with Model-based Anomaly Detection and Recovery

Haocheng Meng, Shaocheng Luo, Zhenyuan Liang +3

Unmanned Aerial Vehicles (UAVs) rely on measurements from Inertial Measurement Units (IMUs) to maintain stable flight. However, IMUs are susceptible to physical attacks, including…

eess.SY2024

Black-box Stealthy GPS Attacks on Unmanned Aerial Vehicles

Amir Khazraei, Haocheng Meng, Miroslav Pajic

This work focuses on analyzing the vulnerability of unmanned aerial vehicles (UAVs) to stealthy black-box false data injection attacks on GPS measurements. We assume that the quadc…

math.ST2023

Spectral Statistics of the Sample Covariance Matrix for High Dimensional Linear Gaussians

Muhammad Abdullah Naeem, Miroslav Pajic

Performance of ordinary least squares(OLS) method for the \emph{estimation of high dimensional stable state transition matrix} (i.e., spectral radius ) from a single noi…

math.ST2023

From Spectral Theorem to Statistical Independence with Application to System Identification

Muhammad Abdullah Naeem, Amir Khazraei, Miroslav Pajic

High dimensional random dynamical systems are ubiquitous, including -- but not limited to -- cyber-physical systems, daily return on different stocks of S&P 1500 and velocity profi…

cs.LG2023★ 2 cited

Off-Policy Evaluation for Human Feedback

Qitong Gao, Ge Gao, Juncheng Dong +3

Off-policy evaluation (OPE) is important for closing the gap between offline training and evaluation of reinforcement learning (RL), by estimating performance and/or rank of target…

eess.SY2023★ 1 cited

Vulnerability Analysis of Nonlinear Control Systems to Stealthy False Data Injection Attacks

Amir Khazraei, Miroslav Pajic

In this work, we focus on analyzing vulnerability of nonlinear dynamical control systems to stealthy false data injection attacks on sensors. We start by defining the stealthiness…

cs.LG2022

Concentration Phenomenon for Random Dynamical Systems: An Operator Theoretic Approach

Muhammad Abdullah Naeem, Miroslav Pajic

Via operator theoretic methods, we formalize the concentration phenomenon for a given observable `' of a discrete time Markov chain with `' as invariant ergodic measure, po…