1 citations · 1 across the 2 of their papers we have counts for
3 papers
SAVe: Self-Supervised Audio-visual Deepfake Detection Exploiting Visual Artifacts and Audio-visual Misalignment
Sahibzada Adil Shahzad, Ammarah Hashmi, Junichi Yamagishi +5
Multimodal deepfakes can exhibit subtle visual artifacts and cross-modal inconsistencies, which remain challenging to detect, especially when detectors are trained primarily on cur…
How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception
Sahibzada Adil Shahzad, Ammarah Hashmi, Yan-Tsung Peng +2
Multimodal deepfakes involving audiovisual manipulations are a growing threat because they are difficult to detect with the naked eye or using unimodal deep learningbased forgery d…
Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights
Ammarah Hashmi, Sahibzada Adil Shahzad, Chia-Wen Lin +2
Deep Learning has been successfully applied in diverse fields, and its impact on deepfake detection is no exception. Deepfakes are fake yet realistic synthetic content that can be…