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cs.CV2025

SpecGuard: Spectral Projection-based Advanced Invisible Watermarking

Inzamamul Alam, Md Tanvir Islam, Khan Muhammad +1

Watermarking embeds imperceptible patterns into images for authenticity verification. However, existing methods often lack robustness against various transformations primarily incl…

cs.CV2025

FakeChain: Exposing Shallow Cues in Multi-Step Deepfake Detection

Minji Heo, Simon S. Woo

Multi-step or hybrid deepfakes, created by sequentially applying different deepfake creation methods such as Face-Swapping, GAN-based generation, and Diffusion methods, can pose an…

cs.CV20255 cited

SpecXNet: A Dual-Domain Convolutional Network for Robust Deepfake Detection

Inzamamul Alam, Md Tanvir Islam, Simon S. Woo

The increasing realism of content generated by GANs and diffusion models has made deepfake detection significantly more challenging. Existing approaches often focus solely on spati…

cs.CV2025

Saliency-Aware Diffusion Reconstruction for Effective Invisible Watermark Removal

Inzamamul Alam, Md Tanvir Islam, Simon S. Woo

As digital content becomes increasingly ubiquitous, the need for robust watermark removal techniques has grown due to the inadequacy of existing embedding techniques, which lack ro…

cs.CV2024

LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond

Md Tanvir Islam, Inzamamul Alam, Simon S. Woo +3

Low-light image enhancement (LLIE) is essential for numerous computer vision tasks, including object detection, tracking, segmentation, and scene understanding. Despite substantial…

cs.CV2024

UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints

Inzamamul Alam, Muhammad Shahid Muneer, Simon S. Woo

In the wake of a fabricated explosion image at the Pentagon, an ability to discern real images from fake counterparts has never been more critical. Our study introduces a novel mul…