5 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…
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…
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…