1 citations · 1 across the 3 of their papers we have counts for
4 papers
Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems
Naseem Khan, Tuan Nguyen, Amine Bermak +1
The rapid advancement of Generative Artificial Intelligence has fueled deepfake proliferation-synthetic media encompassing fully generated content and subtly edited authentic mater…
Adaptive Malware Detection using Sequential Feature Selection: A Dueling Double Deep Q-Network (D3QN) Framework for Intelligent Classification
Naseem Khan, Aref Y. Al-Tamimi, Amine Bermak +1
Traditional malware detection methods exhibit computational inefficiency due to exhaustive feature extraction requirements, creating accuracy-efficiency trade-offs that limit real-…
CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-Attention
Naseem Khan, Tuan Nguyen, Amine Bermak +1
The proliferation of sophisticated AI-generated deepfakes poses critical challenges for digital media authentication and societal security. While existing detection methods perform…
CapsFake: A Multimodal Capsule Network for Detecting Instruction-Guided Deepfakes
Tuan Nguyen, Naseem Khan, Issa Khalil
The rapid evolution of deepfake technology, particularly in instruction-guided image editing, threatens the integrity of digital images by enabling subtle, context-aware manipulati…