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

96 citations · 297 across the 21 of their papers we have counts for

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14 papers · 1 filter

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.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),…

cs.CV2024

Exploring the Impact of Moire Pattern on Deepfake Detectors

Razaib Tariq, Shahroz Tariq, Simon S. Woo

Deepfake detection is critical in mitigating the societal threats posed by manipulated videos. While various algorithms have been developed for this purpose, challenges arise when…

cs.CV2024★ 3 cited

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework

Binh M. Le, Jiwon Kim, Simon S. Woo +3

Deepfakes have rapidly emerged as a serious threat to society due to their ease of creation and dissemination, triggering the accelerated development of detection technologies. How…

cs.CV2023

Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense

Binh M. Le, Shahroz Tariq, Simon S. Woo

Deep neural networks, particularly in vision tasks, are notably susceptible to adversarial perturbations. To overcome this challenge, developing a robust classifier is crucial. In…