activity
20202026
most citedEvaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors

96 citations · 292 across the 20 of their papers we have counts for

collaborators

23 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.CV2025

Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions

Razaib Tariq, Minji Heo, Simon S. Woo +1

Deepfake detection remains a pressing challenge, particularly in real-world settings where smartphone-captured media from digital screens often introduces Moiré artifacts that can…

cs.CR2025★ 1 cited

LLMs in the SOC: An Empirical Study of Human-AI Collaboration in Security Operations Centres

Ronal Singh, Shahroz Tariq, Fatemeh Jalalvand +4

The integration of Large Language Models (LLMs) into Security Operations Centres (SOCs) presents a transformative, yet still evolving, opportunity to reduce analyst workload throug…

cs.CV2025★ 12 cited

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users

Shahroz Tariq, Simon S. Woo, Priyanka Singh +3

The proliferation of deepfake technologies poses urgent challenges and serious risks to digital integrity, particularly within critical sectors such as forensics, journalism, and t…

cs.CV2025

LLMs Are Not Yet Ready for Deepfake Image Detection

Shahroz Tariq, David Nguyen, M. A. P. Chamikara +3

The growing sophistication of deepfakes presents substantial challenges to the integrity of media and the preservation of public trust. Concurrently, vision-language models (VLMs),…