16 citations · 42 across the 13 of their papers we have counts for
14 papers
Enhancing Cross-Grade Generalization in Banana Variety Classification via Hybrid CNN-Transformers and Knowledge Self-Distillation
Khush Kataruka, Mohammad Muzammila, Zahid Akhtar +2
In recent years, automated fruit classification systems have become a more critical component in precision agriculture for efficient yield estimation, quality control, and supply c…
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,…
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…
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…
A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases
Sajjad Saleem, Adil Hussain, Nabila Majeed +2
Wheat is an important source of dietary fiber and protein that is negatively impacted by a number of risks to its growth. The difficulty of identifying and classifying wheat diseas…
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.…
Towards Inclusive Face Recognition Through Synthetic Ethnicity Alteration
Praveen Kumar Chandaliya, Kiran Raja, Raghavendra Ramachandra +2
Numerous studies have shown that existing Face Recognition Systems (FRS), including commercial ones, often exhibit biases toward certain ethnicities due to under-represented data.…
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…
Secure Spectrum and Resource Sharing for 5G Networks using a Blockchain-based Decentralized Trusted Computing Platform
Hisham A. Kholidy, Mohammad A. Rahman, Andrew Karam +1
The 5G network would fuel next-gen, bandwidth-heavy technologies such as automation, IoT, and AI on the factory floor. It will improve efficiency by powering AR overlays in workflo…
Longitudinal Analysis of Mask and No-Mask on Child Face Recognition
Praveen Kumar Chandaliya, Zahid Akhtar, Neeta Nain
Face is one of the most widely employed traits for person recognition, even in many large-scale applications. Despite technological advancements in face recognition systems, they s…
Malware Detection and Analysis: Challenges and Research Opportunities
Zahid Akhtar
Malwares are continuously growing in sophistication and numbers. Over the last decade, remarkable progress has been achieved in anti-malware mechanisms. However, several pressing i…
Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks
Kishor Datta Gupta, Zahid Akhtar, Dipankar Dasgupta
Developing secure machine learning models from adversarial examples is challenging as various methods are continually being developed to generate adversarial attacks. In this work,…
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch
João Monteiro, Isabela Albuquerque, Zahid Akhtar +1
Modern applications of artificial neural networks have yielded remarkable performance gains in a wide range of tasks. However, recent studies have discovered that such modelling st…