activity
20172022
most citedWatch Me, but Don't Touch Me! Contactless Control Flow Monitoring via Electromagnetic Emanations

108 citations · 135 across the 8 of their papers we have counts for

collaborators

9 papers

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.SP20201 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.CR20192 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.CY201913 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…