activity
20172023
most citedMan-in-The-Middle Attacks and Defense in a Power System Cyber-Physical Testbed

127 citations · 444 across the 16 of their papers we have counts for

collaborators

17 papers

cs.CR2023

Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations

Yi Han, Matthew Chan, Eric Wengrowski +5

Camera-based autonomous systems that emulate human perception are increasingly being integrated into safety-critical platforms. Consequently, an established body of literature has…

cs.CV2022★ 1 cited

CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness

Huy Phan, Miao Yin, Yang Sui +2

Model compression and model defense for deep neural networks (DNNs) have been extensively and individually studied. Considering the co-importance of model compactness and robustnes…

cs.CR2022

Let's Talk Through Physics! Covert Cyber-Physical Data Exfiltration on Air-Gapped Edge Devices

Matthew Chan, Nathaniel Snyder, Marcus Lucas +7

Although organizations are continuously making concerted efforts to harden their systems against network attacks by air-gapping critical systems, attackers continuously adapt and u…

cs.RO2022

Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner

Xiao Zang, Miao Yin, Lingyi Huang +3

Neural network (NN)-based methods have emerged as an attractive approach for robot motion planning due to strong learning capabilities of NN models and their inherently high parall…

cs.CV2021★ 25 cited

CHIP: CHannel Independence-based Pruning for Compact Neural Networks

Yang Sui, Miao Yin, Yi Xie +3

Filter pruning has been widely used for neural network compression because of its enabled practical acceleration. To date, most of the existing filter pruning works explore the imp…

cs.CR2021★ 127 cited

Man-in-The-Middle Attacks and Defense in a Power System Cyber-Physical Testbed

Patrick Wlazlo, Abhijeet Sahu, Zeyu Mao +4

Man-in-The-Middle (MiTM) attacks present numerous threats to a smart grid. In a MiTM attack, an intruder embeds itself within a conversation between two devices to either eavesdrop…

cs.LG2021★ 108 cited

Multi-Source Data Fusion for Cyberattack Detection in Power Systems

Abhijeet Sahu, Zeyu Mao, Patrick Wlazlo +4

Cyberattacks can cause a severe impact on power systems unless detected early. However, accurate and timely detection in critical infrastructure systems presents challenges, e.g.,…

eess.SY2020★ 48 cited

Design and Evaluation of A Cyber-Physical Resilient Power System Testbed

Abhijeet Sahu, Patrick Wlazlo, Zeyu Mao +4

A power system is a complex cyber-physical system whose security is critical to its function. A major challenge is to model and analyze its communication pathways with respect to c…

math.OC2020

Generalized Contingency Analysis Based on Graph Theory and Line Outage Distribution Factor

Mohammad Rasoul Narimani, Hao Huang, Amarachi Umunnakwe +4

Identifying the multiple critical components in power systems whose absence together has severe impact on system performance is a crucial problem for power systems known as (N-x) c…

eess.SP2020★ 1 cited

On-board Deep-learning-based Unmanned Aerial Vehicle Fault Cause Detection and Identification

Vidyasagar Sadhu, Saman Zonouz, Dario Pompili

With the increase in use of Unmanned Aerial Vehicles (UAVs)/drones, it is important to detect and identify causes of failure in real time for proper recovery from a potential crash…

cs.CR2019

Selfie: User-defined Sensitive Memory Protection and Recovery

Pengfei Sun, Saman Zonouz

Different users always have different requirement for sensitive memory definition. It is not flexible for aborting program execution once detecting memory corruption. Because the u…

cs.CR2019★ 2 cited

Secure Mobile Technologies for Proactive Critical Infrastructure Situational Awareness

Gabriel Salles-Loustau, Vidyasagar Sadhu, Dario Pompili +2

Trustworthy operation of our national critical infrastructures, such as the electricity grid, against adversarial parties and accidental failures requires constant and secure monit…

cs.CY2019★ 13 cited

Argus: Smartphone-enabled Human Cooperation via Multi-Agent Reinforcement Learning for Disaster Situational Awareness

Vidyasagar Sadhu, Gabriel Salles-Loustau, Dario Pompili +2

Argus exploits a Multi-Agent Reinforcement Learning (MARL) framework to create a 3D mapping of the disaster scene using agents present around the incident zone to facilitate the re…

cs.LG2019

HCFContext: Smartphone Context Inference via Sequential History-based Collaborative Filtering

Vidyasagar Sadhu, Saman Zonouz, Vincent Sritapan +1

Mobile context determination is an important step for many context aware services such as location-based services, enterprise policy enforcement, building or room occupancy detecti…

cs.CR2018

Control Behavior Integrity for Distributed Cyber-Physical Systems

Sridhar Adepu, Ferdinand Brasser, Luis Garcia +4

Cyber-physical control systems, such as industrial control systems (ICS), are increasingly targeted by cyberattacks. Such attacks can potentially cause tremendous damage, affect cr…

cs.NI2017★ 11 cited

CollabLoc: Privacy-Preserving Multi-Modal Localization via Collaborative Information Fusion

Vidyasagar Sadhu, Dario Pompili, Saman Zonouz +1

Mobile phones provide an excellent opportunity for building context-aware applications. In particular, location-based services are important context-aware services that are more an…

cs.CR2017★ 108 cited

Watch Me, but Don't Touch Me! Contactless Control Flow Monitoring via Electromagnetic Emanations

Yi Han, Sriharsha Etigowni, Hua Li +2

Trustworthy operation of industrial control systems depends on secure and real-time code execution on the embedded programmable logic controllers (PLCs). The controllers monitor an…