Recent advances in attack/anomaly detection and resilience strategies for connected and
automated vehicles (CAVs) are reviewed from vehicle dynamics and control perspective …

A minimax framework for quantifying risk-fairness trade-off in regression Page 1 The Annals
of Statistics 2022, Vol. 50, No. 4, 2416–2442 https://doi.org/10.1214/22-AOS2198 © Institute …

This paper defines fair principal component analysis (PCA) as minimizing the maximum
mean discrepancy (MMD) between the dimensionality-reduced conditional distributions of …

The increasing integration of technology in automobiles has raised industry concerns about
cyber-security. This paper provides an overview of the most recent developments in …

Dynamic watermarking, as an active intrusion detection technique, can potentially detect
replay attacks, spoofing attacks, and deception attacks in the feedback channel for control …

This article studies a fundamental problem of security of cyber-physical systems (CPSs). We
focus on a class of attacks where some of the actuators could be malicious while all the …

Intelligent transportation systems (ITSs) promise to significantly reduce traffic congestion
while simultaneously improving road user safety. To accomplish this, ITSs make real-time …

This dissertation studies cybersecurity, with a focus on the control theory for cyber physical
system (CPS). We consider CPS as a networked control system (NCS) where the sensing …

This thesis investigates the problem of fair statistical learning. We argue that critical notions
of fairness can be represented by independence constraints on certain random variables …

Machine learning algorithms are celebrated for their impressive performance on many
tasksthat we thought were dedicated to human minds, from handwritten digits recognition …