8 papers
HexMIL: Hierarchical Attention MIL for Ante-Hoc Explainable Detection of AI-Manipulated CT Volumes
Orazio Pontorno, Luca Guarnera, Zahid Akhtar +1
The emergence of medical deepfakes, i.e., medical images manipulated by deep generative models, poses a significant threat to clinical workflows. However, existing detectors suffer…
SAiW: Source-Attributable Invisible Watermarking for Proactive Deepfake Defense
Bibek Das, Chandranath Adak, Soumi Chattopadhyay +2
Deepfakes generated by modern generative models pose a serious threat to information integrity, digital identity, and public trust. Existing detection methods are largely reactive,…
Deep Learning-Based Approach for Identification of Potato Leaf Diseases Using Wrapper Feature Selection and Feature Concatenation
Muhammad Ahtsam Naeem, Muhammad Asim Saleem, Muhammad Imran Sharif +4
The potato is a widely grown crop in many regions of the world. In recent decades, potato farming has gained incredible traction in the world. Potatoes are susceptible to several i…
Deep Learning in Early Alzheimer's disease's Detection: A Comprehensive Survey of Classification, Segmentation, and Feature Extraction Methods
Rubab Hafeez, Sadia Waheed, Syeda Aleena Naqvi +6
Alzheimers disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimers disease promotes brain shrinkage, ultimately leading to dementia.…
GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer
Deressa Wodajo Deressa, Hannes Mareen, Peter Lambert +3
Deepfakes have raised significant concerns due to their potential to spread false information and compromise digital media integrity. Current deepfake detection models often strugg…
What Skills Do Cyber Security Professionals Need?
Faheem Ullah, Xiaohan Ye, Uswa Fatima +3
Purpose: The increasing number of cyber-attacks has elevated the importance of cybersecurity for organizations. This has also increased the demand for professionals with the necess…