1 citations · 2 across the 10 of their papers we have counts for
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Exposing and Mitigating Neural Codec Vulnerabilities in Audio Deepfake Detection
Abdullah, Awais Khan, Khalid Mahmood Malik
Existing audio deepfake detection (ADD) datasets and detectors are primarily built for vocoder-based synthesis, evaluated against traditional post-hoc perturbations such as MP3/AAC…
PE-Mamba: Bidirectional Selective Layer Aggregation for AI-Generated Image Detection
Kutub Uddin, Nusrat Tasnim, Khalid Malik
AI-generated image (AIGI) detection has become increasingly challenging due to the rapid advancement of generative models and the diminishing gap between synthetic and authentic co…
Uncertainty-Aware Deepfake Detection via Multi-View Structural Learning
Muhammad Umar Farooq, Kutub Uddin, Awais Khan +1
Security-critical biometric and forensic applications require accurate predictions and reliable confidence estimates, particularly under distribution shift. This challenge is espec…
Do Transformations Reveal the Truth? Generative Residual Learning for Generalized AI-Generated Image Detection
Kutub Uddin, Nusrat Tasnim, Awais Khan +2
The rapid advancement of generative AI has enabled the creation of highly realistic deepfake media, posing significant threats, including misinformation, digital identity theft, fr…
Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing
Awais Khan, Kutub Uddin, Khalid Malik
Attributing a synthetic utterance to its originating system remains an open challenge: closed-set models fail to reject unseen synthesizers and produce overconfident predictions. T…