11 papers
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…
TRACE: Training-Free Partial Audio Deepfake Detection via Embedding Trajectory Analysis of Speech Foundation Models
Awais Khan, Muhammad Umar Farooq, Kutub Uddin +1
Partial audio deepfakes, where synthesized segments are spliced into genuine recordings, are particularly deceptive because most of the audio remains authentic. Existing detectors…
Diversity Matters: Dataset Diversification and Dual-Branch Network for Generalized AI-Generated Image Detection
Nusrat Tasnim, Kutub Uddin, Khalid Malik
The rapid proliferation of AI-generated images, powered by generative adversarial networks (GANs), diffusion models, and other synthesis techniques, has raised serious concerns abo…
Face2Parts: Exploring Coarse-to-Fine Inter-Regional Facial Dependencies for Generalized Deepfake Detection
Kutub Uddin, Nusrat Tasnim, Byung Tae Oh
Multimedia data, particularly images and videos, is integral to various applications, including surveillance, visual interaction, biometrics, evidence gathering, and advertising. H…
AI-Generated Image Detection: An Empirical Study and Future Research Directions
Nusrat Tasnim, Kutub Uddin, Khalid Mahmood Malik
The threats posed by AI-generated media, particularly deepfakes, are now raising significant challenges for multimedia forensics, misinformation detection, and biometric system res…
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
Kutub Uddin, Muhammad Umar Farooq, Awais Khan +1
The widespread use of generative AI has shown remarkable success in producing highly realistic deepfakes, posing a serious threat to various voice biometric applications, including…
SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks
Kutub Uddin, Awais Khan, Muhammad Umar Farooq +1
Audio plays a crucial role in applications like speaker verification, voice-enabled smart devices, and audio conferencing. However, audio manipulations, such as deepfakes, pose sig…
Transferable Adversarial Attacks on Audio Deepfake Detection
Muhammad Umar Farooq, Awais Khan, Kutub Uddin +1
Audio deepfakes pose significant threats, including impersonation, fraud, and reputation damage. To address these risks, audio deepfake detection (ADD) techniques have been develop…