activity
20202026
most citedSocial-Sensor Composition for Tapestry Scenes

7 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2026

SoK: How Frontier AI Reshapes System-Level Security Risk Dynamics in Critical Infrastructure

Chandra Thapa, Mohan Baruwal Chhetri, Marthie Grobler +2

Frontier artificial intelligence (FAI), encompassing large-scale, general-purpose AI systems, including large language models, multimodal foundation models, and agentic systems, is…

cs.CR2026

From Frontier to Shadow AI: A Simmering Threat to Assurance and Security in Critical Infrastructure

Mohan Baruwal Chhetri, Shahroz Tariq, Tooba Aamir +3

Frontier AI systems, including large language models and emerging agentic AI tools, offer significant operational benefits but present unique challenges to critical infrastructure…

cs.CR2025

From misinformation to climate crisis: Navigating vulnerabilities in the cyber-physical-social systems

Tooba Aamir, Marthie Grobler, Giovanni Russello

Within the cyber-physical-social-climate nexus, all systems are deeply interdependent: cyber infrastructure facilitates communication, data processing, and automation across physic…

cs.CV2020

Heuristics based Mosaic of Social-Sensor Services for Scene Reconstruction

Tooba Aamir, Hai Dong, Athman Bouguettaya

We propose a heuristics-based social-sensor cloud service selection and composition model to reconstruct mosaic scenes. The proposed approach leverages crowdsourced social media im…

cs.MM2020★ 7 cited

Social-Sensor Composition for Tapestry Scenes

Tooba Aamir, Hai Dong, Athman Bouguettaya

The extensive use of social media platforms and overwhelming amounts of imagery data creates unique opportunities for sensing, gathering and sharing information about events. One o…